The European Union summary report on trends - ECDC

SCIENTIFIC REPORT
APPROVED: 2 December 2015
PUBLISHED: 17 December 2015
doi:10.2903/j.efsa.2015.4329
The European Union summary report on trends and sources of
zoonoses, zoonotic agents and food-borne outbreaks in 2014
European Food Safety Authority
European Centre for Disease Prevention and Control
Abstract
This report of the European Food Safety Authority and the European Centre for Disease Prevention
and Control presents the results of the zoonoses monitoring activities carried out in 2014 in
32 European countries (28 Member States (MS) and four non-MS). Campylobacteriosis was the most
commonly reported zoonosis with an increase in confirmed human cases in the European Union (EU)
since 2008. In food the occurrence of Campylobacter remained high in broiler meat. The decreasing
EU trend for confirmed human salmonellosis cases since 2008 continued. More human Salmonella
Enteritidis cases were reported whereas the S. Stanley cases remained, as in 2013, at a higher level
compared with 2011–2012. Most MS met their Salmonella reduction targets for poultry but isolates of
S. Infantis increased at EU level. In foodstuffs, the EU-level Salmonella non-compliance in fresh and
processed poultry meat was rare and low, respectively. The numbers of human listeriosis cases
further increased, since 2008. In ready-to-eat foods Listeria seldom exceeded the EU food safety limit.
The decreasing EU trend for confirmed yersiniosis cases since 2008 continued. Positive findings for
Yersinia were mainly reported in pig meat and products thereof. The number of confirmed
verocytotoxigenic Escherichia coli (VTEC) infections in humans slightly decreased compared with 2013.
VTEC was reported from food and animals. A total of 5,251 food-borne outbreaks, including waterborne outbreaks, were reported. Most food-borne outbreaks were caused by viruses, followed by
Salmonella, bacterial toxins and Campylobacter and with unknown causative agent in 29.1% of all
outbreaks. Important food vehicles in strong-evidence food-borne outbreaks were ‘eggs and egg
products’, followed by ‘mixed food’ and ‘crustaceans, shellfish, molluscs and products thereof’. The
report further summarises trends and sources along the food chain of tuberculosis due to
Mycobacterium bovis, Brucella, Trichinella, Echinococcus, Toxoplasma, rabies, Coxiella burnetii
(Q fever), West Nile virus and tularaemia.
© European Food Safety Authority and European Centre for Disease Prevention and Control, 2015
Keywords: zoonoses, monitoring, Salmonella, Campylobacter, Listeria, parasites, food-borne
outbreaks
Requestor: European Commission
Question number: EFSA-Q-2015-00089
Correspondence: zoonoses@efsa.europa.eu
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EFSA Journal 2015;13(12):4329
EU summary report on zoonoses, zoonotic agents and food-borne outbreaks 2014
Acknowledgements: EFSA and ECDC wish to thank the members of the Scientific Network for
Zoonoses Monitoring Data and the Food and Waterborne Diseases and Zoonoses Network, who
provided the data and reviewed the report; the members of the Scientific Network for Zoonoses
Monitoring Data for their endorsement of this scientific output; the EFSA staff (Frank Boelaert, Giusi
Amore, Yves Van der Stede, Anca Stoicescu, Krisztina Nagy, Francesca Riolo, Johanna Kleine, Winy
Messens, Eliana Lima, Matthew Watts, Angel Ortiz Pelaez, Michaela Hempen, Pietro Stella, Alessandro
Broglia), the ECDC staff (Taina Niskanen, Lilian van Leest, Eva Warns-Petit, Therese Westrell, Csaba
Ködmön, Vahur Hollo, Joana Gomes Dias and Johanna Takkinen) and the EFSA contractors: the
National Food Institute Technical University of Denmark (and staff: Birgitte Helwigh, Lone Jannok
Porsbo, Louise Boysen and Flemming Bager), the Istituto Superiore di Sanità, Italy (and staff: Alfredo
Caprioli, Gaia Scavia and Stefano Morabito), the Animal and Plant Health Agency, UK (and staff: Doris
Mueller-Doblies and Peter Sewell) for the support provided to this scientific output.
Suggested citation: EFSA (European Food Safety Authority) and ECDC (European Centre for
Disease Prevention and Control), 2015. The European Union summary report on trends and sources of
zoonoses, zoonotic agents and food-borne outbreaks in 2014. EFSA Journal 2015;13(12):4329,
191 pp. doi:10.2903/j.efsa.2015.4329
ISSN: 1831-4732
© European Food Safety Authority and European Centre for Disease Prevention and Control, 2015
Reproduction is authorised provided the source is acknowledged.
The EFSA Journal is a publication of the European Food
Safety Authority, an agency of the European Union.
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EU summary report on zoonoses, zoonotic agents and food-borne outbreaks 2014
Summary
The report presents the results of the zoonoses monitoring activities carried out in 2014 in
32 European countries: 28 Member States (MS) and four non-Member States (non-MS) European Free
Trade Association (EFTA) countries. The European Food Safety Authority (EFSA) and the European
Centre for Disease Prevention and Control (ECDC) summarised all submitted data on the occurrence
of zoonoses and food-borne outbreaks.
Campylobacter
Humans
In 2014, Campylobacter continued to be the most commonly reported gastrointestinal bacterial
pathogen in humans in the European Union (EU) and has been so since 2005. The number of reported
confirmed cases of human campylobacteriosis was 236,851 (Figure 1) with an EU notification rate of
71.0 per 100,000 population, a 9.6% increase compared with the rate in 2013. The 12-month moving
average showed a statistically significant increasing trend over the 7-year period 2008–2014. The
majority of the MS reported increasing notification rates in 2014 with almost half of the MS increasing
significantly in 2008–2014. Considering the high number of human campylobacteriosis cases, their
severity in terms of reported case fatality was low (0.01%) (Table 1).
Campylobacteriosis
(N = 236,851)
Salmonellosis
(N = 88,715)
Yersiniosis
(N = 6,625)
VTEC infections
(N = 5,955)
Zoonoses
Listeriosis
Yersiniosis
(N = 6,625
VTEC infections
(N = 5,955)
Listeriosis
(N = 2,161)
(N = 2,161)
Echinococcosis
(N = 801)
Echinococcosis
(N = 801)
Q fever
(N = 777)
Q fever
(N = 777)
Tularaemia
(N = 480)
Brucellosis
(N = 347)
Trichinellosis
(N = 319)
TB caused by M. bovis
(N = 145)
Tularaemia
(N = 480
Brucellosis
(N = 347)
Trichinellosis
(N = 319)
TB caused by M. bovis
(N = 145)
West Nile fever
Rabies
West Nile fever
Rabies
(N = 77)
(N = 3)
0.00
1.00
2.00
3.00
Notification rate per 100,000 population
(N = 77)
(N = 3)
0.0
5.0
10.0 15.0 20.0 25.0 30.0 35.0 40.0 45.0 50.0 55.0 60.0 65.0 70.0 75.0
Notification rate per 100,000 population
Total number of confirmed cases is indicated in parenthesis at the end each bar. Exception is made for West Nile fever where
total number of cases was used.
Figure 1:
Reported numbers and notification rates of confirmed human zoonoses cases in the EU,
2014
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Foodstuffs
Broiler meat is considered to be the most important single source of human campylobacteriosis. In
2014, 38.4% of the 6,703 samples of fresh broiler meat (single or batch, aggregated data from all
sampling stages) were found to be Campylobacter positive, which is comparable to that observed in
2013. The variation between MS was high. In raw cow’s milk intended for direct human consumption
or manufacture of raw or low heat-treated products Campylobacter was detected in up to 16.7% of
the tested units (single or batch).
Animals
In 2014, Campylobacter was found in 30.7% of the 13,603 units of broilers tested in MS. The
variation in prevalence was high between MS. This prevalence is markedly higher than in 2013,
though the number of reporting MS differed compared with 2013. The variation in reporting MS and in
the number of units tested has greatly influenced the overall prevalence. Only few MS reported
Campylobacter data for other animals.
Table 1:
Reported hospitalisation and case-fatality rates due to zoonoses in confirmed human cases
in the EU, 2014
Number of
Hospitalisation
confirmed(a) Status Number of Reported Proportion
Outcome
Disease
human cases available reporting hospitalised hospitalised available
(%)
MS(b)
cases
(%)
(%)
Campylobacteriosis
236,851
25.4
16
18,303
30.4
73.6
Salmonellosis
88,715
32.2
14
9,830
34.4
49.6
Yersiniosis
6,625
15.2
12
442
44.0
58.3
VTEC infections
5,955
39.9
15
930
39.2
58.6
Listeriosis
2,161
38.0
16
812
98.9
64.8
Echinococcosis
801
24.0
14
122
63.5
24.6
Q- fever
777
NA(c)
NA
NA
NA
51.2
Brucellosis
347
62.0
9
142
66.1
41.5
Tularaemia
480
47.1
8
92
40.7
49.0
Trichinellosis
319
74.6
5
150
63.0
74.9
West Nile fever(a)
77
66.2
6
48
94.1
66.2
Rabies
3
NA
NA
NA
NA
66.6
(a): Exception made for West Nile fever where the total number of cases was included.
(b): Not all countries observed cases for all diseases
(c): NA-not applicable as the information is not collected for this disease.
Deaths
Number of Reported Casereporting
deaths fatality
MS(b)
(%)
15
25
0.01
15
65
0.15
14
5
0.13
18
7
0.20
20
210
15.0
12
1
0.51
11
1
0.26
10
0
0.00
9
0
0.00
6
2
0.84
6
7
13.7
3
2
100.0
Salmonella
Humans
In 2014, a total of 88,715 confirmed salmonellosis cases were reported by 28 EU MS, resulting in an
EU notification rate of 23.4 cases per 100,000 population. This represented a 15.3% increase in the
EU notification rate compared with 2013. There was a statistically significant decreasing trend of
salmonellosis in the 7-year period of 2008-2014. Sixty-five fatal cases were reported by 11 MS among
the 15 MS that provided data on the outcome of their cases. This gives an EU case-fatality of 0.15%
among the 43,995 confirmed cases for which this information was available (Table 1).
As in previous years, the two most commonly reported Salmonella serovars in 2014 were S. Enteritidis
and S. Typhimurium, representing 44.4% and 17.4%, respectively, of all reported serovars in
confirmed human cases. The proportion of S. Enteritidis increased compared with 2013. This increase
was mainly attributed to increase in cases in one MS. S. Typhimurium cases, including the variant
monophasic S. Typhimurium 1,4,[5],12:i:-, decreased by 21.7% compared with 2013. Cases of
S. Infantis, the fourth most common serovar, returned to the level of 2012 after the increase in 2013.
S. Stanley continued to decrease also in 2014 but cases still remained, as in 2013, at a higher level
than before the large outbreak reported in 2011-2012. The highest increase in 2014 was observed in
S. Chester and could be explained by an outbreak related to travel to Morocco.
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Foodstuffs
Generally there was no major change as regards Salmonella-contaminated foodstuffs compared with
previous years. Salmonella was most frequently detected in poultry meat, and less often in pig or
bovine meat. The highest proportions of Salmonella-positive single samples were reported for fresh
turkey meat (3.5%) followed by fresh broiler (2.2%), pig (0.5%) and bovine meat (0.1%). Salmonella
was rarely found in table eggs, at levels of 0.3% (single samples) or 1.0% (batch samples). The most
important source of food-borne Salmonella outbreaks was, however, still eggs and egg products.
Salmonella was also detected in other foods, including ready-to-eat (RTE) foods, at low to very low
levels; however RTE foodstuffs pose a direct risk to the consumer, so assessing the proportion of
Salmonella-positive samples should take this into account. In fresh poultry meat, subject to a
Salmonella criterion for S. Enteritidis and S. Typhimurium (including monophasic S. Typhimurium
strains with the antigenic formula 1,4,[5],12:i:-), the reported non-compliance decreased to 0.1% in
single samples and remained at 0.2% in batches. This indicates that the continued investment of MS
in Salmonella control is yielding noticeable results. Still, this is not reflected in minced meat and meat
preparations from poultry to be cooked before consumption and also not in meat products from
poultry intended to be eaten cooked. In these product categories the proportions of non-compliant
units was low (< 10%), with no obvious trend during this period.
Animals
In 2014, the EU-level prevalence of Salmonella target serovar-positive poultry flocks was very low
(< 1%), for breeding flocks of Gallus gallus, for laying hen flocks, broiler flocks, as well as for flocks of
breeding and of fattening turkeys.
Since the implementation of National Control Programmes the declining trend in the EU prevalence of
Salmonella target serovar-positive poultry flocks continued in 2014 for all groups of animals during
their production period, except for breeding flocks of G. gallus for which the prevalence for the five
target serovars (S. Enteritidis, S. Typhimurium, S. Infantis, S. Hadar and S. Virchow) stabilised at
0.6%, since 2010.
Twenty-one MS met the Salmonella reduction target of ≤ 1% set for fowl breeding flocks. In the case
of flocks of laying hens, 23 MS met their relative Salmonella reduction targets and the EU prevalence
for the two target serovars (S. Enteritidis and S. Typhimurium) was further reduced from 1.0% in
2013 to 0.9% in 2014. In broiler flocks, 21 MS met the reduction target set at ≤ 1% for the two
serovars (S. Enteritidis and S. Typhimurium) and the EU prevalence for the target serovars was 0.2%,
the same as in 2013. In turkeys, the same reduction target is in force as for broilers, and all 15 MS
which reported data on turkey breeding flocks met the target, with an overall prevalence of 0.2% for
the two target serovars (0.3% in 2013). A further 21 MS met the target for fattening turkey flocks
before slaughter. At the EU level, 0.2% of the fattening turkey flocks were infected with the two
target serovars, the same as in 2013.
Salmonella findings were also reported in other animal species, including ducks, geese, pigs, cattle,
sheep and goats.
Feedingstuffs
The overall level of Salmonella contamination in animal- and vegetable-derived feed material in 2014
was low (3.8%), but higher than in 2013 (1.4%). The highest proportion of positive samples in
individual investigations was reported for the feed category ‘Feed material of oil seed or fruit origin’,
mainly soya (bean)-derived and sunflower seed-derived feed.
In compound feedingstuffs (the finished feed for animals), the proportion of Salmonella-positive
findings in 2014 was low to very low for all animal populations: 0.7% of 1,654 tested samples for
cattle, 1.9% of 1,077 tested samples for pigs and 0.8% of 7,741 tested samples for poultry.
Serovars
The most commonly reported serovar in fowl (G. gallus) was S. Infantis, accounting for 38.3% of all
5,377 reported isolates, followed by S. Mbandaka (12.1%) and S. Enteritidis (11.9%). S. Livingstone
and S. Typhimurium were reported as 6.7% and 4.8% of the total isolates, respectively. While the
number of S. Enteritidis and S. Typhimurium reports has steadily declined over the past 5 years, the
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number of reported S. Infantis isolates has increased and was in 2014 more than the double reported
in 2010.
S. Infantis was also the most commonly reported serovar from broiler meat, accounting for 35.8% of
all 1,626 reported isolates. The number of reported S. Enteritidis isolates from broiler meat has been
increasing over the past five years and in 2014 S. Enteritidis became the second most commonly
reported serovar from broiler meat (33.9% of isolates).
In 2014, in turkeys S. Infantis was for the first time since years the most commonly reported serovar
(22.2% of isolates). From turkey meat, S. Stanley and S. Infantis were most commonly reported,
followed by S. Typhimurium.
In pigs, S. Typhimurium accounted for 54.7% of the 2,037 isolates reported in 2014, and S. Derby
was the second most common serovar, accounting for 17.5% of isolates. The proportion of isolates
that belong to the group of monophasic strains of S. Typhimurium has not changed substantially over
the past 5 years and ranged between 8.4% of isolates in 2014 and 14% in 2013. In pig meat, across
the EU, S. Typhimurium was the most commonly reported serovar (27.8%), followed by S. Derby
(24.4%) and monophasic strains of S. Typhimurium (18%).
In cattle, the most common serovar was S. Typhimurium (46.8% of all 3,243 reported isolates).
S. Dublin (31.3% of isolates) was the second most common serovar across the EU, and S. Enteritidis
accounted for 4.6% of isolates only, the third one. In 2014, 24.7% of isolates from bovine meat were
S. Derby, 20.6% were S. Typhimurium and 17.8% were S. Enteritidis.
Listeria
Humans
In 2014, 27 MS reported 2,161 confirmed human cases of listeriosis. The EU notification rate was
0.52 cases per 100,000 population which represented a 30% increase compared with 2013. There
was a statistically significant increasing trend of listeriosis over 2008-2014. The majority of the
countries reported increasing notification rates of listeriosis in 2014 and six MS had statistically
increasing trend. Seventeen MS reported 210 deaths due to listeriosis in 2014, which was the highest
annual number of deaths reported since 2009. The EU case fatality was 15.0% among the
1,401 confirmed cases with known outcome (Table 1). Listeriosis infections were most commonly
reported in the elderly population with the case fatality peaking at 17.8% in the age group over
65 years old.
Foodstuffs
In 2014, the non-compliance for different RTE food categories was generally at a level comparable to
previous years, with the level of non-compliance highest in fishery products at processing plant
(mainly smoked fish). As in previous years and consistent with the results of the EU baseline survey
on the prevalence of L. monocytogenes in certain RTE foods at retail, the proportion of positive
samples at retail was highest in fish products (mainly smoked fish), followed by soft and semi-soft
cheeses, RTE meat products and hard cheeses.
Animals
In 2014, several MS reported information on Listeria in various animal species. Findings of Listeria
were most often reported in cattle, sheep, goats, pigs and solipeds but Listeria was also detected in
broilers, cats, dogs, hunted wild boar, foxes, and other wild and zoo animals. Listeria is widespread in
the environment; therefore, isolation from animals is to be expected and increased exposure may lead
to clinical disease in animals.
Verocytotoxigenic E. coli
Humans
In 2014, 5,955 confirmed cases of verocytotoxigenic Escherichia coli (VTEC) infections were reported
in the EU. The EU notification rate was 1.56 cases per 100,000 population, which was 1.9% lower
than the notification rate in 2013. The EU notification rate in the 2 years following the large outbreak
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in 2011 was higher than before the outbreak and remained so in 2014. This is possibly an effect of
increased awareness and of more laboratories testing also for other serogroups than O157. In 2014,
seven deaths due to VTEC infection were reported in the EU which resulted in an EU case-fatality of
0.2% among the 3,491 confirmed cases for which this information was provided (Table 1).
As in previous years, the most commonly reported VTEC serogroup in 2014 was O157 (46.3% of
cases with known serogroup) although its relative proportion compared to other serogroups declined.
Serogroup O157 was followed by serogroups O26, O103, O145, O91, O146 and O111. The proportion
of non-typable VTEC strains continued to increase in 2014 as did the proportion of O-rough which
both doubled in the 3-year period from 2012 to 2014.
Foodstuffs and animals
No trends were observed in the presence of VTEC in food and animals. The highest proportion of
VTEC-positive samples was reported for meat from ruminants (goat, sheep, bovine and deer). VTEC
were reported in about 1% of cheese samples, in particular those made from sheep’s and goats’ milk,
while contamination was rare in RTE food of vegetal origin. In particular, no VTEC-positive samples
were reported for spices and herbs as well as for sprouted seeds, the sole food category for which
microbiological criteria for VTEC have been established in the EU.
A wide range of VTEC serogroups was reported, with VTEC O157 being the most frequent in both
food and animal samples. However, it should be considered that many of the MS’s surveillance and
monitoring programmes are traditionally focused on this serotype and this may have introduced a bias
in the estimates of the frequency of VTEC serogroups. Similarly to the data referring to human
infections, the VTEC serogroup O26 was the second most reported serogroup in both food and animal
samples, with an increasing trend between 2011 and 2014. It is also interesting to note that the VTEC
serogroups most frequently found in food samples (O157, O26, O103, O113, O146, O91, O145) are
those most commonly reported in human infections in the EU/EEA in 2014 and also in the preceding
years.
Yersinia
Humans
MS reported 6,625 confirmed cases of yersiniosis in 2014, making it the third most commonly reported
zoonosis in the EU. The EU notification rate was 1.92 cases per 100,000 population which was
comparable with 2013. There was a statistically significant decreasing 7-year trend in 2008–2014. The
highest country-specific notification rates were observed in MS in north-eastern Europe. Yersinia
enterocolitica was the most common species reported to be isolated from human cases.
Five fatal cases, all due to Y. enterocolitica, were reported among the 3,861 confirmed yersiniosis
cases for which this information was reported in 2014. The EU case fatality was 0.13% (Table 1).
Food and animals
Only very few MS report data from surveillance of Yersinia in food and animals. In 2014, two MS
reported positive findings for Y. enterocolitica in pig meat and products thereof, and two MS reported
positive findings in pigs. Positive findings were also reported in other food (bovine meat, ovine meat
and raw cow’s milk) and in other animals (cattle, goats, sheep, foxes, hunted wild boar, dogs, deer,
hares, cats).
Tuberculosis due to Mycobacterium bovis
Humans
Tuberculosis due to M. bovis is a rare infection in humans in the EU, with 145 confirmed human cases
reported in 2014 and a notification rate of 0.03 cases per 100,000 population. The notification rates in
the EU have been stable in 2011–2014. There was no clear association between a country’s status as
officially free of bovine tuberculosis (OTF) and notification rates in humans.
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Animals
At the EU-level, the proportion of cattle herds infected with or positive for M. bovis remained very low
(0.8% of the existing herds). The distribution of M. bovis across EU is, however, heterogeneous with a
prevalence ranging from absence of infected/positive animals in many OTF regions to a prevalence of
11.6% in the non-OTF regions of the United Kingdom (England, Northern Ireland and Wales). In the
non-OTF regions, the reported proportion of herds positive for M. bovis slowly increases during the
last years.
Brucella
Humans
Brucellosis is a rare infection in humans in the EU with 347 confirmed cases reported in 2014. The
highest notification rates and the majority of the domestic cases were reported from three countries
(Greece, Portugal and Spain) that are not officially brucellosis-free in cattle, sheep or goats. Almost
70% of the human brucellosis cases had been hospitalised, but no deaths were reported in 2014.
Foodstuffs
There was a Brucella-positive investigation in nine samples of milk (processing plant sampling)
collected in Italy. The other two MS (Portugal and Spain) that reported surveillance results in food did
not have any positive sample.
Animals
In 2014, bovine, ovine and caprine brucellosis remained a rare event in the EU. Both bovine and small
ruminant brucellosis cases of infected or positive herds have been reported by five Mediterranean MS:
Croatia, Greece, Italy, Portugal and Spain. Most non-officially brucellosis-free MS and non-officially
Brucella melitensis free MS reported fewer positive and/or infected herds than in 2013.
Trichinella
Humans
In 2014, 319 confirmed trichinellosis cases were reported in the EU. The EU notification was 0.07
cases per 100,000 population, an increase by 40% compared with 2013 and the highest notification
rate reported since year 2010. The highest notification rates were reported in Romania, and Bulgaria.
The time series of trichinellosis was greatly influenced by a number of smaller and larger outbreaks
with peaks often occurring in January. Two deaths due to trichinellosis were reported in 2014.
Animals
Ten MS reported positive findings in farm animals (pigs and farmed wild boar). From 191,332,813 pigs
tested, 204 (0.0001%) were reported to be positive and were mainly pigs not raised under controlled
housing conditions of which most were found in Romania. From a total of 41,244 farmed wild boar
tested, three MS reported positive finding at very low levels. No positive findings were reported from
198,665 domestic solipeds tested in EU.
In hunted wild boar 0.12% tested positive and originated mostly from eastern EU MS. Most of the
Trichinella-positive reports from wildlife other than wild boar were from eastern and north eastern EU
MS, in 27 different animal species. Throughout the past years, the highest proportions of positive
samples were from raccoon dogs followed by bears. Trichinella is found in large parts of Europe as 15
MS reported positive findings.
Echinococcus
Humans
In 2014, a total of 806 echinococcosis cases, of which 801 were laboratory-confirmed, were reported
in the EU. The EU notification rate was 0.18 cases per 100,000 population which was the same as in
2013. The number of cases reported to be infected with E. granulosus (cystic echinococcosis)
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increased in 2014 after a steady decrease since 2008. In contrast, the number of cases reported to be
infected with E. multilocularis (alveolar echinococcosis) decreased for the first time in 2014 since
2008. One death due to E. granulosus was reported in 2014.
Animals
E. multilocularis was reported at low to moderate levels in foxes by eight MS. Further, three countries
reported findings of E. multilocularis in pigs, raccoon dog and beaver. Two MS (Greece and Spain)
reported almost all the positive findings of Echinococcus in domestic farm animals and were mainly
obtained from meat inspection at slaughterhouse. E. granulosus findings were almost exclusively
reported by one MS (Spain).
Toxoplasma
Humans
Data on congenital toxoplasmosis in the EU in 2014 are not included in this report but data will be
available in the ECDC Surveillance Atlas (in preparation).
Animals
In 2014, 14 MS and two non-MS provided data on Toxoplasma in animals. Positive findings (indirect
and direct analytical methods) were detected in pigs (four MS with overall 9.7% of the tested samples
positive), cattle (nine MS, 3.9% positive), sheep and goats (12 MS and two non-MS, 26.2%), and
dogs and cats (10 MS and two non-MS; 23.9% positive dogs and 12.3% positive cats). In addition,
positive samples were detected from deer, donkeys, foxes, hares, horses, lynx, mouflons, rabbits, pet
animals, water buffalo, wild rats and wolves.
Rabies
Humans
In 2014, three travel-associated cases of rabies were reported from France, the Netherlands and
Spain. Two patients, 46 and 35 years old, were bitten by dogs in Morocco and India, respectively. The
third patient, 57 years old, was infected by a canine strain of rabies virus in Mali.
Animals
In 2014, 319 rabies cases were reported in foxes by six MS (Romania, Poland, Hungary, Greece,
Bulgaria and Croatia) which is a decrease of 41.4% compared to 2013. Overall, in 2014, 443 animals
other than bats tested positive for either classical rabies virus or unspecified lyssavirus, in reporting
countries. This number of cases reported was lower compared with 2013, when 778 cases were
reported. Three MS reported rabies cases in pet animals (18 cases in cats and 27 cases in dogs). In
addition, six MS (France, Germany, Poland, Spain, the Netherlands and the United Kingdom) reported
positive cases from bats.
Q fever
Humans
In 2014, a total of 777 confirmed cases of Q fever in humans were reported in the EU. The EU
notification rate was 0.18 per 100,000 population. The highest notification rate was observed in
Hungary (0.60 cases per 100,000 population) for the second consecutive year.
Overall, there was a significantly decreasing trend of Q fever cases in 2008–2014. One death due to
Q fever was reported by Hungary in 2014. This resulted in an EU case fatality of 0.26% among the
380 confirmed cases for which this information was reported.
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Animals
The majority of the samples for Q fever in 2014 were reported from cattle (19 MS and two non-MS
reported data), sheep and goat (19 MS and one non-MS reported) of mainly 3 MS. Different indirect
and direct test methods were used and the proportion of positive animals varied largely between MS.
Five and 10 MS did not detect any positive sample for C. burnetii in cattle and sheep and goat
respectively. Six and two non-MS tested a range of other domesticated, captive as well as wild
animals for Q fever, the majority in Italy. The latter detected 10.4% positive samples in a large survey
of farmed water buffalo.
West Nile virus
Humans
In 2014, 77 cases of West Nile fever (WNF) in humans were reported in the EU. The EU notification
rate of locally acquired and travel-related cases was 0.02 per 100,000 population. The overall
notification rate decreased by 0.06 per 100,000 (71%) compared with 2013 (250 cases). The highest
notification rate was observed in Greece (0.14 cases per 100,000 population), but was much lower
than in previous years; however, surveillance systems vary between countries, making the comparison
difficult. Case numbers peaked in September, not in August as during most previous years.
Seven deaths due to WNF were reported by Greece and Romania in 2014.
Animals
In 2014, a total of 23,629 animals (solipeds, birds and farmed red deer) were reported and tested for
West Nile virus (WNV), which is more than in 2013 when 21,221 animals were tested. Only one MS
(Spain) reported the WNV presence via a confirmatory test in birds. Eight MS detected seropositive
animals in solipeds.
Tularaemia
Humans
In 2014, 480 confirmed cases of tularaemia in humans were reported in the EU. The EU notification
rate was 0.10 cases per 100,000 population, a 43% increase compared with 2013. There was no
significant increasing or decreasing trend in 2008–2014. The highest notification rate was observed in
Sweden (1.56 confirmed cases per 100,000 population), slightly higher than in 2013. No deaths due
tularaemia were reported at the EU.
Animals
Occurrence of Francisella tularensis was reported by one MS and one non-MS, in wild hares, and in a
monkey.
Other zoonoses and zoonotic agents
Findings of Taenia saginata cysts in bovine carcases and of Taenia solium cysts in pig carcases and
wild boar were reported by, respectively, three and two MS.
Food-borne outbreaks
In 2014, a total of 5,251 food-borne outbreaks, including water-borne outbreaks, were reported in the
EU. Overall, 45,665 human cases, 6,438 hospitalisations and 27 deaths were reported. The evidence
supporting the link between human cases and food vehicles was strong in 592 outbreaks (Figure 2).
The largest number of reported food-borne outbreaks was caused by viruses (20.4% of all outbreaks),
which overtook Salmonella (20.0% of all outbreaks) as the most common cause of outbreaks in the
EU. Bacterial toxins accounted for 16.1% of the outbreaks and Campylobacter for 8.5% of the
outbreaks. For 29.2% of the outbreaks the causative agent was unknown. From 2008 to 2014, there
has been a markedly decreasing trend in the annual total number of Salmonella outbreaks within the
EU by 44.4%, whereas the number of outbreaks caused by viruses has more than doubled since 2011
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(525) and reached in 2014 the highest level yet reported (1,072). Reported Campylobacter food-borne
outbreaks increased slightly compared to 2013.
As in previous years, the most important food vehicles in the strong-evidence outbreaks were ‘eggs
and egg products’, followed by ‘mixed food’, ‘crustaceans, shellfish, molluscs and products thereof’
and ‘vegetables and juices’.
In 2014, 12 strong-evidence water-borne outbreaks were reported in the EU. Five different pathogens
were detected from these outbreaks: Salmonella, Campylobacter, VTEC, Cryptosporidium parvum and
Clostridium perfringens. For four water-borne strong-evidence outbreaks the causative agent was
unknown.
Food-borne viruses include adenovirus, calicivirus, hepatitis A virus (HAV), flavivirus, rotavirus and other unspecified viruses.
Bacterial toxins include toxins produced by Bacillus, Clostridium and Staphylococcus. Other causative agents include chemical
agents, histamine, lectin, marine biotoxins, mushroom toxins, and wax esters (from fish). Parasites include primarily Trichinella,
but also Cryptosporidium, Giardia and Anisakis. Other bacterial agents include Brucella, Listeria, Shigella,
Vibrio parahaemolyticus and other unspecified bacteria agents. In this figure, outbreaks due to pathogenic E. coli other than
VTEC and VTEC outbreaks have been aggregated into the category 'E. coli (including VTEC)'.
Figure 2: Distribution of all food-borne outbreaks per causative agent in the EU, 2014
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Table of contents
Abstract
.................................................................................................................................1
Summary
.................................................................................................................................3
Table of contents ......................................................................................................................... 12
List of tables ............................................................................................................................... 14
List of figures ............................................................................................................................... 16
Legal basis ............................................................................................................................... 18
1.
Introduction...................................................................................................................... 20
1.1.
The structure of the report ................................................................................................ 20
2.
Materials and methods ...................................................................................................... 21
2.1.
Data received in 2014 ....................................................................................................... 21
2.1.1. Human data...................................................................................................................... 21
2.1.2. Data on food, animals and feed ......................................................................................... 21
2.1.3. Data on food-borne outbreaks ........................................................................................... 22
2.2.
Statistical analysis of trends over time ................................................................................ 22
2.2.1. Human data...................................................................................................................... 22
2.3.
Cartographic and other representation of data .................................................................... 23
2.3.1. Animal data ...................................................................................................................... 23
2.4.
Data sources..................................................................................................................... 23
2.4.1. Salmonella data ................................................................................................................ 23
2.4.2. Campylobacter data .......................................................................................................... 24
2.4.3. Listeria data...................................................................................................................... 25
2.4.4. VTEC data ........................................................................................................................ 26
2.4.5. Yersinia data..................................................................................................................... 26
2.4.6. Tuberculosis data .............................................................................................................. 27
2.4.7. Brucella data .................................................................................................................... 27
2.4.8. Trichinella data ................................................................................................................. 28
2.4.9. Echinococcus data ............................................................................................................. 28
2.4.10. Toxoplasma data .............................................................................................................. 29
2.4.11. Rabies data ...................................................................................................................... 29
2.4.12. Q fever data ..................................................................................................................... 30
2.4.13. West Nile virus data .......................................................................................................... 30
2.4.14. Tularaemia data ................................................................................................................ 30
2.4.15. Other zoonoses and zoonotic agent data ............................................................................ 31
2.4.16. Food-borne outbreak data ................................................................................................. 31
2.5.
Terms used to describe prevalence or proportion positive values ......................................... 31
3.
Assessment ...................................................................................................................... 32
3.1.
Salmonella ........................................................................................................................ 32
3.1.1. Salmonellosis in humans .................................................................................................... 32
3.1.2. Salmonella in food, animals and feedingstuffs ..................................................................... 35
3.1.3. Discussion ........................................................................................................................ 65
3.2.
Campylobacter .................................................................................................................. 67
3.2.1. Campylobacteriosis in humans ........................................................................................... 67
3.2.2. Campylobacter in food and animals .................................................................................... 69
3.2.3. Discussion ........................................................................................................................ 73
3.3.
Listeria ............................................................................................................................. 74
3.3.1. Listeriosis in humans ......................................................................................................... 74
3.3.2. Listeria in food and animals ............................................................................................... 76
3.3.3. Discussion ........................................................................................................................ 83
3.4.
Verocytotoxigenic Escherichia coli ...................................................................................... 84
3.4.1. Verocytotoxigenic Escherichia coli in humans ...................................................................... 84
3.4.2. Verocytotoxigenic Escherichia coli in food and animals ........................................................ 87
3.4.3. Discussion ...................................................................................................................... 100
3.5.
Yersinia .......................................................................................................................... 100
3.5.1. Yersiniosis in humans ...................................................................................................... 101
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3.5.2. Yersinia in food and animals ............................................................................................ 103
3.5.3. Discussion ...................................................................................................................... 104
3.6.
Tuberculosis due to Mycobacterium bovis ......................................................................... 104
3.6.1. Mycobacterium bovis in humans ...................................................................................... 104
3.6.2. Tuberculosis due to Mycobacterium bovis in cattle ............................................................ 106
3.6.3. Discussion ...................................................................................................................... 108
3.7.
Brucella .......................................................................................................................... 109
3.7.1. Brucellosis in humans ...................................................................................................... 109
3.7.2. Brucella in food and animals ............................................................................................ 111
3.7.3. Discussion ...................................................................................................................... 116
3.8.
Trichinella ....................................................................................................................... 117
3.8.1. Trichinellosis in humans .................................................................................................. 117
3.8.2. Trichinella in animals ....................................................................................................... 118
3.8.3. Discussion ...................................................................................................................... 121
3.9.
Echinococcus .................................................................................................................. 122
3.9.1. Echinococcosis in humans ................................................................................................ 122
3.9.2. Echinococcus in animals .................................................................................................. 124
3.9.3. Discussion ...................................................................................................................... 127
3.10. Toxoplasma .................................................................................................................... 128
3.10.1. Toxoplasmosis in humans ................................................................................................ 128
3.10.2. Toxoplasma in animals .................................................................................................... 128
3.10.3. Discussion ...................................................................................................................... 129
3.11. Rabies ............................................................................................................................ 130
3.11.1. Rabies in humans ............................................................................................................ 130
3.11.2. Rabies in animals ............................................................................................................ 130
3.11.3. Discussion ...................................................................................................................... 133
3.12. Q fever ........................................................................................................................... 134
3.12.1. Q fever in humans .......................................................................................................... 134
3.12.2. Coxiella burnetii in animals .............................................................................................. 135
3.12.3. Discussion ...................................................................................................................... 136
3.13. West Nile virus ................................................................................................................ 137
3.13.1. West Nile fever in humans ............................................................................................... 137
3.13.2. West Nile virus in animals ................................................................................................ 139
3.13.3. Discussion ...................................................................................................................... 140
3.14. Tularaemia ..................................................................................................................... 141
3.14.1. Tularaemia in humans ..................................................................................................... 141
3.14.2. Francisella tularensis in animals ....................................................................................... 143
3.14.3. Discussion ...................................................................................................................... 143
3.15. Other zoonoses and zoonotic agents ................................................................................ 144
3.15.1. Cysticercus ..................................................................................................................... 144
3.15.2. Sarcocystis ..................................................................................................................... 144
3.16. Food-borne outbreaks ..................................................................................................... 144
3.16.1. General overview ............................................................................................................ 144
3.16.2. Overview by causative agent ........................................................................................... 153
3.16.3. Water-borne outbreaks.................................................................................................... 166
3.16.4. Discussion ...................................................................................................................... 166
References ............................................................................................................................. 168
Abbreviations ............................................................................................................................. 173
Appendix: List of usable data ...................................................................................................... 175
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List of tables
Table 1
Table 2
Table 3
Table 4
Table 5
Table 6
Table 7
Table 8
Table 9
Table 10
Table 11
Table 12
Table 13
Table 14
Table 15
Table 16
Table 17
Table 18
Table 19
Table 20
Table 21
Table 22
Table 23
Table 24
Table 25
Table 26
Table 27
Table 28
Table 29
Reported hospitalisation and case-fatality rates due to zoonoses in confirmed human
cases in the EU, 2014 .................................................................................................4
Reported human cases of salmonellosis and notification rates per 100,000 population in
the EU/EEA, by country and year, 2010–2014 ............................................................ 32
Distribution of reported confirmed cases of human salmonellosis in the EU/EEA, 2012–
2014, by the 20 most frequent serovars in 2014 ......................................................... 35
Salmonella in fresh broiler meat at slaughter, processing/cutting level and retail level,
2014 ........................................................................................................................ 39
Salmonella in breeding flocks of Gallus gallus during the production period (all types of
breeding flocks, flock-based data) in countries running control programmes in
accordance with Regulation (EC) No 2160/2003, 2014 ................................................ 44
Salmonella in laying hen flocks of Gallus gallus during the production period (flock-based
data) in countries running control programmes, 2014 ................................................. 47
Salmonella in broiler flocks of Gallus gallus before slaughter (flock-based data) in
countries running control programmes, 2014 ............................................................. 49
Salmonella in breeding flocks of turkeys (adults, flock-based data) in countries running
control programmes, 2014 ........................................................................................ 50
Salmonella in fattening flocks of turkeys before slaughter (flock-based data) in countries
running control programmes, 2014 ............................................................................ 51
Reported human cases of campylobacteriosis and notification rates per 100,000 in the
EU/EEA, by country and year, 2010–2014 .................................................................. 67
Campylobacter in fresh broiler meat, 2014 ................................................................. 70
Reported human cases of listeriosis and notification rates per 100,000 in the EU/EEA, by
country and year, 2010–2014 .................................................................................... 74
Reported human cases of VTEC infections and notification rates per 100,000 population
in the EU/EEA, by country and year, 2010–2014 ......................................................... 85
Distribution of reported confirmed cases of human VTEC infections in 2014 in the
EU/EEA, 2012–2014, by the 20 most frequent serogroups .......................................... 86
Proportion of positive samples for any VTEC and VTEC belonging to the ‘top-5’
serogroups in food categories in Member States and non-Member States, 2014 ........... 91
Frequency distribution of non-O157 VTEC serogroups in food categories in Member
States, 2014 ............................................................................................................. 93
Frequency distribution of non-O157 VTEC serogroups in animals in Member States, 201497
Reported human cases of yersiniosis and notification rates in the EU/EEA, by country
and year, 2008–2014 .............................................................................................. 101
Reported human cases of tuberculosis due to M. bovis and notification rates per
100,000 population in the EU/EEA, by country and year, 2010–2014 ......................... 105
Reported human cases of brucellosis and notification rates per 100,000 in the EU/EEA,
by country and year, 2010–2014 ............................................................................. 109
Reported human cases of trichinellosis and notification rates per 100,000 population in
the EU/EEA, by country and year, 2010–2014 .......................................................... 117
Reported human cases of echinococcosis and notification rates per 100,000 population in
the EU/EEA, by country and year, 2010–2014 .......................................................... 123
Reported human cases of Q fever and notification rates per 100,000 in the EU/EEA, by
country and year, 2010–2014 .................................................................................. 134
Reported human cases of West Nile fever and notification rates per 100,000 population
in the EU/EEA, by country and year, 2010–2014 ....................................................... 137
Reported human cases of tularaemia and notification rates per 100,000 population in the
EU/EEA, by country and year, 2010–2014 ................................................................ 142
Number of all food-borne outbreaks and human cases in the EU, 2014 ...................... 146
Number of outbreaks and human cases per causative agents in food-borne outbreaks in
the EU (including water-borne outbreaks), 2014 ....................................................... 150
Strong- and weak-evidence food-borne outbreaks caused by viruses (excluding waterborne outbreaks) in the EU, 2014 ............................................................................ 153
Strong-evidence food-borne outbreaks caused by viruses (excluding strong-evidence
water-borne outbreaks) in the EU, 2014 .................................................................. 154
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Table 30
Table 31
Table 32
Table 33
Table 34
Table 35
Table 36
Table 37
Table 38
Strong- and weak-evidence food-borne outbreaks caused by Salmonella (excluding
strong-evidence water-borne outbreaks), 2014 ........................................................ 155
Strong- and weak-evidence food-borne outbreaks caused by Bacillus toxins (excluding
strong-evidence water-borne outbreaks), 2014 ........................................................ 158
Strong- and weak-evidence food-borne outbreaks caused by Clostridium toxins
(excluding strong-evidence water-borne outbreaks), 2014 ........................................ 158
Strong- and weak-evidence food-borne outbreaks caused by staphylococcal toxins
(excluding strong-evidence water-borne outbreaks), 2014 ........................................ 160
Strong- and weak-evidence food-borne outbreaks caused by Campylobacter (excluding
strong-evidence waterborne outbreaks), 2014 .......................................................... 161
Strong- and weak-evidence food-borne outbreaks caused by pathogenic Escherichia coli
(excluding strong-evidence waterborne outbreaks), 2014 ......................................... 161
Strong- and weak-evidence food-borne outbreaks caused by other causative agents
(excluding strong-evidence waterborne outbreaks), 2014 ......................................... 162
Strong-evidence food-borne outbreaks caused by other causative agents (excluding
strong-evidence water-borne outbreaks), 2014 ........................................................ 163
List of reported strong-evidence water-borne outbreaks in 2014................................ 166
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List of figures
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16
Figure 17
Figure 18
Figure 19
Figure 20
Figure 21
Figure 22
Figure 23
Figure 24
Figure 25
Figure 26
Reported numbers and notification rates of confirmed human zoonoses cases in the EU,
2014 ..........................................................................................................................3
Distribution of all food-borne outbreaks per causative agent in the EU, 2014 ............... 11
Trend in reported confirmed human cases of non-typhoidal salmonellosis in the EU/EEA,
by month of reporting, 2008–2014 ............................................................................ 33
Proportion of units (single samples) not complying with the EU Salmonella criteria, 20112014 ........................................................................................................................ 37
Prevalence of S. Enteritidis, S. Typhimurium, S. Infantis, S. Virchow and/or S. Hadarpositive breeding flocks of Gallus gallus during production in the EU, 2007–2014; and
prevalence of S. Enteritidis and/or S. Typhimurium-positive laying hen flocks, broiler
flocks, flocks of breeding and fattening turkeys, during the production period in the EU,
2008–2014 ............................................................................................................... 45
Prevalence of S. Enteritidis, S. Typhimurium, S. Infantis, S. Virchow and/or S. Hadarpositive breeding flocks of Gallus gallus during the production period and target for MSs,
Iceland, Norway and Switzerland, 2014 ..................................................................... 45
Prevalence of the five target serovars (S. Enteritidis, S. Typhimurium, S. Infantis, S.
Virchow and/or S. Hadar)-positive breeding flocks of Gallus gallus during the production
period, 2014 ............................................................................................................ 46
Prevalence of S. Enteritidis and/or S. Typhimurium-positive laying hen flocks of Gallus
gallus during the production period and targets for Member States, Norway and
Switzerland, 2014 ..................................................................................................... 48
Prevalence of the two target serovars (S. Enteritidis and/or S. Typhimurium)-positive
laying hen flocks of Gallus gallus during the production period, 2014 ........................... 48
Sankey diagram of reported Salmonella serovar isolates, in animal species, food of
animal origin and animal feedingstuffs, by matrix, EU, 2014........................................ 54
Distribution of S. Kentucky reported from Gallus gallus, 2014. ..................................... 57
Distribution of S. Infantis reported from Gallus gallus, 2014. ....................................... 58
Salmonella trends from Gallus gallus between 2010 and 2014. .................................... 59
Distribution of S. Infantis reported from broiler meat, 2014......................................... 60
Salmonella trends in broiler meat between 2010 and 2014. ......................................... 61
Salmonella trends in turkeys between 2010 and 2014. ................................................ 62
Trend in reported confirmed human cases of campylobacteriosis in the EU/EEA, by
month of reporting, 2008–2014 ................................................................................. 69
Trend in reported confirmed human cases of listeriosis in the EU/EEA, by month of
reporting, 2008-2014 ................................................................................................ 75
Proportion of single samples at processing and retail non-compliant with EU
L. monocytogenes criteria, 2011-2014 ....................................................................... 78
Proportion of L. monocytogenes-positive units in ready-to-eat fishery products categories
in the reporting EU Member States, 2014 ................................................................... 79
Proportion of L. monocytogenes-positive units in ready-to-eat meat categories in the
reporting EU Member States, 2014 ............................................................................ 81
Proportion of L. monocytogenes-positive units in soft and semi-soft cheeses, and hard
cheeses made from raw or low heat-treated milk and pasturised milk in reporting EU
Member States, 2014 ................................................................................................ 82
Trend in reported confirmed cases of human VTEC infections in the EU/EEA, by month of
reporting, 2008-2014 ................................................................................................ 86
Proportion of VTEC-positive samples in food categories in the reporting Member States,
2012-2014 ............................................................................................................... 89
Proportion of food samples positive for the most frequent VTEC serogroups (per 1,000
samples tested), reported by Member States and non-Member States, 2011–2014. ...... 94
Proportion of VTEC-positive samples in animal categories in Member States and nonMember States, 2012-2014 ....................................................................................... 95
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Figure 27
Figure 28
Figure 29
Figure 30
Figure 31
Figure 32
Figure 33
Figure 34
Figure 35
Figure 36
Figure 37
Figure 38
Figure 39
Figure 40
Figure 41
Figure 42
Figure 43
Figure 44
Figure 45
Figure 46
Figure 47
Figure 48
Figure 49
Figure 50
Figure 51
Figure 52
Figure 53
Figure 54
Figure 55
Figure 56
Figure 57
Figure 58
Figure 59
Figure 60
Figure 61
Proportion of animal samples positive for the most frequent VTEC serogroups (per 1,000
samples tested), reported by Member States and non-Member States, 2011–2014. ...... 98
Presence (red boxes) and absence of VTEC serogroups in foods (left) and animals
(right), sampled in the EU in 2014. ............................................................................ 99
Trend in reported confirmed human cases of yersiniosis in the EU/EEA, by month of
reporting, 2008–2014 ............................................................................................. 102
Status of countries regarding bovine tuberculosis due to M. bovis, 2014 .................... 106
Proportion of existing cattle herds infected with or positive for M. bovis, 2014 ........... 107
Proportion of existing cattle herds infected with or positive for M. bovis, 2009-2014 ... 107
Trend in reported confirmed human cases of brucellosis in the EU/EEA, by month of
reporting, 2008-2014 .............................................................................................. 111
Status of countries regarding bovine brucellosis, 2014 .............................................. 112
Proportion of existing cattle herds infected with or positive for Brucella, 2014 ............ 113
Proportion of existing cattle, sheep and goat herds infected with or positive for
Brucella, 2005-2014 ................................................................................................ 114
Status of countries and regions regarding ovine and caprine brucellosis, 2014 ........... 115
Proportion of existing sheep and goat herds infected with or positive for Brucella, by
country and region, 2014 ........................................................................................ 115
Trend in reported confirmed human cases of trichinellosis in the EU/EEA, by month of
reporting, 2008-2014 .............................................................................................. 118
Findings of Trichinella in hunted wild boar, 2014 ...................................................... 120
Findings of Trichinella in wildlife (excluding hunted wild boar), 2014 ......................... 121
Proportion of Trichinella-positive samples in wildlife in Member States and non-Member
States, 2005-2014 .................................................................................................. 121
Reported confirmed human cases of echinococcosis by species in selected Member
States, by year, 2008-2014 ..................................................................................... 124
E. multilocularis status of EU Member States and adjacent countries. ........................ 125
Findings of Echinococcus multilocularis in foxes, 2014 .............................................. 126
Classical rabies or unspecified lyssavirus cases in foxes, 2014 ................................... 131
Reported cases of classical rabies or unspecified lyssavirus cases in animals other than
bats, in the Member States and non-Member States, 2006-2014 ............................... 132
Classical rabies or unspecified lyssavirus cases in bats, 2014 ..................................... 133
Trend in reported confirmed human cases of Q fever in the EU/EEA, by month of
reporting, 2008-2014 .............................................................................................. 135
Trend in reported total cases of human West Nile fever in the EU/EEA, by month of
reporting, 2010-2014 .............................................................................................. 138
Findings of West Nile virus in birds in the EU, in 2014 ............................................... 139
Findings of West Nile virus in domestic solipeds in the EU, in 2014. ........................... 140
Trend in reported confirmed human cases of tularaemia in the EU/EEA, by month of
reporting, 2008-2014 .............................................................................................. 143
Reporting rate per 100,000 population in Member States and non-Member States,
2014 ...................................................................................................................... 147
Distribution of food-borne outbreaks in Member States and non-Member States,
2014 ...................................................................................................................... 147
Distribution of all food-borne outbreaks per causative agent in the EU, 2014 ............. 151
Total number of food-borne outbreaks in the EU, 2008-2014 .................................... 151
Distribution of strong-evidence outbreaks by food vehicle in the EU, 2014 ................. 152
Distribution of strong-evidence outbreaks by settings in the EU, 2014 ....................... 152
Distribution of food vehicles in strong-evidence outbreaks caused by norovirus in
the EU, 2014 .......................................................................................................... 155
Distribution of food vehicles in strong-evidence outbreaks caused by Salmonella in the
EU, 2014 ................................................................................................................ 156
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Legal basis
According to Directive 2003/99/EC 1 on the monitoring of zoonoses and zoonotic agents, MS are
obliged to monitor and report antimicrobial resistance in Salmonella and Campylobacter isolates
obtained from healthy food-producing animals and from food. Commission Decision 2007/407/EC 2 lays
down detailed requirements on the harmonised monitoring and reporting of antimicrobial resistance of
Salmonella isolates from various poultry populations and pigs. The monitoring and reporting of
antimicrobial resistance in indicator organisms E. coli and enterococci is voluntary.
The data collection on human diseases from MS is conducted in accordance with Decision
1082/2013/EU3 on serious cross-border threats to health, which in October 2013 replaced Decision
2119/98/EC on setting up a network for the epidemiological surveillance and control of communicable
diseases in the European Union (EU). The case definitions to be followed when reporting data on
infectious diseases, including antimicrobial resistance, to the European Centre for Disease Prevention
and Control (ECDC) are described in Decision 2012/506/EU. 4 ECDC has provided data on zoonotic
infections in humans, as well as their analyses, for the Community Summary Reports since 2005.
Since 2007, data on human cases have been reported from The European Surveillance System
(TESSy), maintained by ECDC.
About EFSA
The European Food Safety Authority, located in Parma, Italy, and established and funded by the EU as
an independent agency in 2002, provides objective scientific advice, in close collaboration with
national authorities and in open consultation with its stakeholders, with a direct or indirect impact on
food and feed safety, including animal health and welfare and plant protection. EFSA is also consulted
on nutrition in relation to EU legislation. EFSA’s risk assessments provide risk managers (the European
Commission (EC), the European Parliament and the Council) with a sound scientific basis for defining
policy-driven legislative or regulatory measures required to ensure a high level of consumer protection
with regard to food and feed safety. EFSA communicates to the public in an open and transparent
way on all matters within its remit. Collection and analysis of scientific data, identification of emerging
risks and scientific support to the EC, particularly in the case of a food crisis, are also part of EFSA’s
mandate, as laid down in founding Regulation (EC) No 178/20025 of 28 January 2002.
About ECDC
The European Centre for Disease Prevention and Control (ECDC), an EU agency based in Stockholm,
Sweden, was established in 2005. The objective of ECDC is to strengthen Europe’s defences against
infectious diseases. According to Article 3 of founding Regulation (EC) No 851/20046 of 21 April 2004,
ECDC’s mission is to identify, assess and communicate current and emerging threats to human health
posed by infectious diseases. In order to achieve this goal, ECDC works in partnership with national
public health bodies across Europe to strengthen and develop EU-wide disease surveillance and early
warning systems. By working with experts throughout Europe, ECDC pools Europe’s knowledge in
health to develop authoritative scientific opinions about the risks posed by current and emerging
infectious diseases.
1
2
3
4
5
6
Directive 2003/99/EC of the European Parliament and of the Council of 17 November 2003 on the monitoring of zoonoses and
zoonotic agents, amending Council Decision 90/424/EEC and repealing Council Directive 92/117/EEC. OJ L 325, 12.12.2003
pp. 31–40.
Commission Decision 2007/407/EC of 12 June 2007 on a harmonised monitoring of antimicrobial resistance in Salmonella in
poultry and pigs. OJ L 153, 14.6.2007, pp. 26–29.
Decision No 1082/2013/EU of the European Parliament and of the Council of 22 October 2013 on serious cross-border threats
to health and repealing Decision No 2119/98/EC. OJ L 293, 5.11.2013, pp. 1–15.
Commission Decision 2012/506/EU amending Decision 2002/253/EC laying down case definitions for reporting communicable
diseases to the Community network under Decision No 2119/98/EC of the European Parliament and of the Council. OJ L 262,
27.9.2012, pp. 1–57.
Regulation (EC) No 178/2002 of the European Parliament and of the Council of 28 January 2002 laying down the general
principles and requirements of food law, establishing the EFSA and laying down procedures in matters of food safety. OJ L 31,
1.2.2002, pp. 1–24.
Regulation (EC) No 851/2004 of the European Parliament and of the Council of 21 April 2004 establishing a European centre
for disease prevention and control. OJ L 142, 30.4.2004, pp. 1–11.
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Terms of reference
The EU system for the monitoring and collection of information on zoonoses is based on the Zoonoses
Directive 2003/99/EC, which obliges EU MS to collect relevant and, where applicable, comparable data
on zoonoses, zoonotic agents, antimicrobial resistance and food-borne outbreaks. In addition, MS are
required to assess trends and sources of these agents, as well as outbreaks in their territory,
submitting an annual report each year by the end of May to the EC covering the data collected. EFSA
is assigned the tasks of examining these data and publishing the EU annual Summary Reports. In
accordance with Article 9 of the Zoonoses Directive 2003/99/EC, EFSA shall examine the submitted
national reports of the EU MS and publish by the end of November a summary report on the trends
and sources of zoonoses, zoonotic agents and antimicrobial resistance in the EU.
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1.
Introduction
This European Union (EU) Summary Report 2014 on zoonoses, zoonotic agents and food-borne
outbreaks was prepared by the European Food Safety Authority (EFSA) in collaboration with the
European Centre for Disease Prevention and Control (ECDC). Member States, other reporting
countries, the European Commission (EC), members of EFSA’s Scientific Panels on Biological Hazards
(BIOHAZ) and Animal Health and Welfare (AHAW) and the relevant EU Reference Laboratories
(EURLs) were consulted while preparing the report.
The efforts made by Member States (MS), the reporting non-MS and the EC in the reporting of
zoonoses data and in the preparation of this report are gratefully acknowledged.
The 2014 data on antimicrobial resistance in zoonotic agents submitted and validated by the MS are
published in a separate EU Summary Report.
The present EU Summary Report on zoonoses and food-borne outbreaks focuses on the most relevant
information on zoonoses and food-borne outbreaks within the EU in 2014. If substantial changes
compared with the previous year were observed, they have been reported.
1.1.
The structure of the report
The current report, the EU Summary Report 2014, includes an abstract, a summary, an introduction to
the zoonoses reporting, a description of materials and methods and an EU assessment of the specific
zoonoses. It is available in printable format. The Appendix contains hyperlinks to all data summarised
for the production of this report, for humans, food, animals and food-borne outbreaks. It also includes
hyperlinks to summary tables and figures that were not included in this printable report because they
did not trigger any marked observation. The validated and summarised data are presented in
downloadable Excel and PDF files, and listed by subject.
Monitoring and surveillance schemes for most zoonotic agents covered in this report are not
harmonised among MS, and findings presented in this report must, therefore, be interpreted with
care. The data presented may not have been derived from sampling plans that were statistically
designed, and, thus, findings may not accurately represent the national situation regarding zoonoses.
Regarding data on human infections, please note that the numbers presented in this report may differ
from national zoonoses reports due to differences in case definitions used at EU and national level or
because of different dates of data submission and extraction. Results are generally not directly
comparable between MS and sometimes not even between different years in one country.
The national zoonoses reports submitted in accordance with Directive 2003/99/EC are published on
the EFSA website together with the EU Summary Report. They are available online at
http://www.efsa.europa.eu/en/zoonosesscdocs/zoonosescomsumrep.htm.
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2.
Materials and methods
2.1.
Data received in 2014
2.1.1.
Human data
The human data analyses in the EU Summary Report for 2014 were prepared by the Food- and
Waterborne Diseases and Zoonoses programme at the ECDC and were based on the data submitted
via the European Surveillance System (TESSy), hosted at ECDC. Please note that the numbers
presented in the report may differ from national reports owing to differences in case definitions used
at EU and national level or to different dates of data submission and extraction. The latter may also
result in some divergence in case numbers presented in different ECDC reports.
TESSy is a software platform that has been operational since April 2008 and in which data on
52 diseases and special health issues are collected. Both aggregated and case-based data were
reported to TESSy. Although aggregated data did not include individual case-based information, both
reporting formats were included where possible to calculate country-specific notification rates, casefatality rates, proportion of hospitalised cases and trends in diseases. Human data used in the report
were extracted from TESSy on 6 August 2015. The denominators used for the calculation of the
notification rates were the human population data from EUROSTAT April 2015 update.
Data on human zoonoses cases were received from 28 MS and also from two non-MS: Iceland and
Norway. Switzerland sent its data on human cases directly to EFSA.
The data should be interpreted with caution and taking into account data quality issues and
differences between MS surveillance systems. The reader should refrain from making direct
comparisons between countries without taking into account the limitations in the data which may
differ between countries depending on the characteristics of their surveillance systems.
2.1.2.
Data on food, animals and feed
In 2014, 27 MS submitted data and national zoonoses reports; Luxembourg did not submit any data
or national report. In addition, data and reports were submitted by the four non-MS: Iceland, Norway,
Switzerland and Liechtenstein.7 Sixteen MS and two non-MS submitted data on animals, food and
food-borne outbreaks electronically to the EFSA zoonoses database, through EFSA’s Data Collection
Framework (DCF). Seven MS and one non-MS submitted data using the web-based zoonoses
reporting system maintained by EFSA. Four MS used both systems. This is the last year MS can report
data using the web based reporting system.
In 2014, data were collected on a mandatory basis for the following eight zoonotic agents in animals,
food and feed: Salmonella, Campylobacter, Listeria monocytogenes (L. monocytogenes),
verocytotoxigenic Escherichia coli (VTEC), Mycobacterium bovis (M. bovis), Brucella, Trichinella and
Echinococcus. In addition, based on the epidemiological situations in MS, data were reported on the
following agents and zoonoses: Yersinia, Toxoplasma, lyssavirus (rabies), Coxiella burnetii (Q fever),
West Nile virus (WNV), Cysticercus, Francisella, Chlamydia and Sarcocystis, and Bacillus. Data on
Staphylococcus, meticillin-resistant Staphylococcus aureus (MRSA) and antimicrobial resistance in
indicator E. coli and enterococci isolates were also submitted. Furthermore, MS provided data on
certain other microbiological contaminants in food – histamine, staphylococcal enterotoxins and
Enterobacter sakazakii (Cronobacter spp.), for which food safety criteria are set down in EU
legislation.
The deadline for data submission was 31 May 2015. Two data validation exercises were implemented,
by 3 June 2015 and by 3 July 2015. Validated data on food, animals, and feed used in the report were
extracted from the EFSA zoonoses database on 24 September 2015.
7
Based on the customs union treaty of the Principality of Liechtenstein with Switzerland, Liechtenstein is part of the Swiss
customs territory. Due to the tight connection between the veterinary authorities of Liechtenstein and Switzerland as well as
Liechtenstein’s integration into the Swiss system in the veterinary field, in principal, all legislation, rules and data concerning
contagious diseases are identical for both Switzerland and Liechtenstein. If not mentioned otherwise, the Swiss data include
also the data from Liechtenstein.
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The draft EU Summary Report was sent to MS for consultation on 30 October 2015 and comments
were collected by 20 November 2015. The utmost effort was made to incorporate comments and data
amendments within the available time frame. The report was finalised by 2 December 2015 and
published online by EFSA and ECDC on 17 December 2015.
In this report, data are presented on the eight mandatory zoonotic agents and also on rabies,
Toxoplasma, Q fever, WNV, Yersinia, Francisella, Cysticercus and Sarcocystis.
For each pathogen, an overview table presenting all MS reported data is available. However, for the
summary tables, data from industry own-control programmes and Hazard Analysis and Critical Control
Point (HACCP) sampling and, unless stated otherwise, data from suspect sampling, selective sampling
and outbreak or clinical investigations are excluded. Specifically, the following criteria have been
applied:

data from industry own-control programmes and Hazard Analysis and Critical Control Point
(HACCP) sampling are excluded in all the summary tables;

data from suspect sampling, selective sampling and outbreak or clinical investigations are
excluded in the summary tables for Salmonella, Campylobacter, Listeria, VTEC, Yersinia and
Trichinella;

data from suspect sampling, selective sampling and outbreak or clinical investigations are
included in the summary tables for Echinococcus, rabies, Toxoplasma, Francisella tularensis,
WNV, Brucella, M. bovis, Coxiella burnetii.
More details regarding the 2014 zoonoses models for data entry and the picklists (qualitative
classifications) of variables are available online (http://www.efsa.europa.eu/en/supporting/pub/776e)
and in an EFSA supporting publication (EFSA, 2015a). As regards the number of samples of
investigations, there was no restriction and also smaller sample sizes, of fewer than 25 units, are
included in all tables. It is acknowledged that sampling biases and imprecision due to limited numbers
of specimens examined preclude extending findings to reflect actual prevalence or accurate
prevalence estimations.
The detailed description of the terms used in the report is available in the EFSA’s manual for reporting
on zoonoses (EFSA, 2015b).
2.1.3.
Data on food-borne outbreaks
Twenty-six MS and three non-MS reported data on food-borne outbreaks during 2014. No outbreak
data were reported by Cyprus and Luxembourg. The non-reporting of food-borne outbreak data does
not necessarily mean that no outbreaks were notified in non-reporting countries.
If in rare cases, the MS do not provide any information on the number of human cases, hospitalisation
and/or deaths the numbers are assumed to be zero.
Data on food-borne outbreaks used in the report were extracted from the EFSA zoonoses database on
30 November 2015.
The detailed description of the terms used in the report is available in the EFSA’s manual for reporting
on food-borne outbreaks (EFSA, 2015c). This year, 2014, was the first year of reporting when it was
possible to report detailed information on weak-evidence outbreaks.
2.2.
Statistical analysis of trends over time
2.2.1.
Human data
Routine surveillance data from TESSy were used to describe two components of the temporal pattern
(secular trend and seasonality) of human zoonoses cases for the EU and by MS.
Only confirmed human cases (with the exception of West Nile fever, for which total numbers of cases
were used) reported consistently by MS, throughout the study period 2008–2014, were included in the
time series analysis. Diseases were analysed by month. Of the date variables available (date of onset,
date of diagnosis, etc.), the date chosen by the MS as the official ‘Date used for statistics’ was
selected.
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For assessing the temporal trends at EU level and by MS, moving averages were applied. Linear
regression was applied where appropriate to test the significance of trends. The level of statistical
significance was set at 5%. All analyses were performed using Stata®14.
2.3.
Cartographic and other representation of data
2.3.1.
Animal data
ArcGIS from the Economic and Social Research Institute (ESRI) was used to map animal data.
Choropleth maps with graduated colours over a continuous scale of values were used to map the
proportion of positive samples across EU and other reporting countries.
A Sankey diagram of reported Salmonella serovar isolates was produced using the open source data
visualisation website: http://app.raw.densitydesign.org/#%2F.
For lyssavirus and WNV the number of positive samples, rather than the proportion, was displayed
using proportional circles, while for Trichinella in wild animals a simple absence/presence map was
produced.
For disease status data a simple colour code was selected to represent the official status of each
country as defined in the legislation (free or not free).
2.4.
Data sources
In the following sections, the types of data submitted by the reporting countries are briefly described.
Information on human surveillance systems is based on the countries reporting data to ECDC for
2014.
2.4.1.
Salmonella data
Humans
The notification of non-typhoidal salmonellosis in humans is mandatory in most MS, Iceland, Norway
and Switzerland, except for four MS where reporting is based on a voluntary system (Belgium, France
and Luxembourg) or other system (the United Kingdom). In the United Kingdom, although the
reporting of food poisoning is mandatory, isolation and specification of the organism is voluntary. The
surveillance systems for salmonellosis have full national coverage in all MS except four (Belgium,
France, the Netherlands and Spain). The coverage in Spain, France and in the Netherlands is
estimated to be 48%, 30%, 48% and 64%, respectively. These proportions of populations were used
in the calculation of notification rates for Spain, France and the Netherlands. Diagnosis of human
Salmonella infections is generally done by culture from human stool samples. The majority of
countries perform serotyping of strains (ECDC, 2012a).
Food
Salmonella in food is notifiable in 16 MS (Belgium, Bulgaria, the Czech Republic, Denmark, Estonia,
Finland, France, Germany, Hungary, Italy, Latvia, Romania, Slovakia, Slovenia, Spain and Sweden)
and in two non-MS (Norway and Iceland). Information was not provided from Cyprus, Croatia, Greece,
Lithuania, Luxembourg, Malta, the Netherlands, Poland, Portugal and Switzerland.
Commission Regulation (EC) No 2073/20058 on microbiological criteria for food lays down food safety
criteria for Salmonella in several specific food categories. This Regulation came into force in January
2006 and was modified by Regulation (EC) No 1441/2007,9 entering into force in December 2007.
Sampling schemes for monitoring Salmonella in food, e.g. place of sampling, sampling frequency and
diagnostic methods, vary between MS and according to food types, as do sampling objectives. For a
full description of monitoring schemes and diagnostic methods in individual MS, please refer to the
national reports. The monitoring schemes are based on various types of samples, such as neck skin
8
9
Commission Regulation (EC) No 2073/2005 of 15 November 2005 on microbiological criteria for foodstuffs. OJ L 338,
22.12.2005, pp. 1–26.
Commission Regulation (EC) No 1441/2007 of 5 December 2007 amending Regulation (EC) No 2073/2005 on microbiological
criteria for foodstuffs. OJ L 322, 7.12.2007, pp. 12–29.
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samples, carcase swabs and meat cuttings; these samples were collected at slaughter, at processing
plants, at meat cutting plants and at retail. Several MS reported data collected as part of HACCP
programmes based on sampling at critical control points. These targeted samples could not be directly
compared with those that were randomly collected for monitoring/surveillance purposes and were not
included in data analysis and tables.
Animals
Salmonella in Gallus gallus (fowl) and/or other animal species is notifiable in all MS, except for
Hungary, and also in three non-MS (Iceland, Norway and Switzerland). In France, Salmonella
detection is mandatory only for breeding flocks and laying hens of G. gallus, and in Malta for broilers
and laying hen flocks of G. gallus. In Poland and in Romania, the notification of Salmonella is
mandatory only in poultry; in Poland only findings of S. Enteritidis, S. Typhimurium, S. Pullorum and
S. Gallinarum, and in Romania findings of S. Enteritidis and S. Typhimurium.
The monitoring of Salmonella in animals is mainly conducted through active routine monitoring of
flocks of breeding and production animals in different age groups, and tests on organs during meat
inspection, but also includes passive, laboratory-based surveillance of clinical samples. Community
Regulation (EC) No 2160/200310 with subsequent amendments prescribes a sampling plan for the
control of S. Enteritidis, S. Typhimurium, S. Infantis, S. Virchow and S. Hadar in breeding flocks of
G. gallus and for the control of S. Enteritidis and S. Typhimurium in laying hen flocks and broiler flocks
of G. gallus and for turkey flocks to ensure comparability of data among MS. Non-MS (European Free
Trade Association members) must also apply the Regulation in accordance with the Decision of the
European Economic Area (EEA) Joint Committee No 101/2006.11 No specific requirements for the
monitoring and control of other commercial poultry production systems or in other animals were
applicable in 2014.
Details of monitoring programmes and control strategies in breeding flocks of Gallus gallus, laying hen
flocks, broiler flocks and breeding and production turkey flocks are available in the national reports.
Feed
There is no common sampling scheme for feed materials in the EU. Results from compulsory and
voluntary monitoring programmes, follow-up investigations and industry quality assurance
programmes, as well as from surveys, are reported. The MS monitoring programmes often include
both random and targeted sampling of feed that are considered at risk. Samples of raw material,
materials used during processing and final products are collected from batches of feed of domestic
and imported origin. The reported epidemiological units were either ‘batch’ (usually based on pooled
samples) or ‘single’ (often several samples from the same batch). As in previous years, most MS did
not report separately data from the different types of monitoring programmes or data from domestic
and imported feed. Therefore, it must be emphasised that the data related to Salmonella in feed
cannot be considered national prevalence estimates. Moreover, owing to the lack of a harmonised
surveillance approach, information is not comparable among countries. Nevertheless, data at country
level are presented in the same tables. Information was requested on feed materials of animal and
vegetable origin and on compound feed (mixture of feed materials intended for feeding specific
animal groups). Data on the detection of Salmonella in feed material of land animal origin, marine
animal origin, cereals, oil seeds and products, and compound feed for cattle, pigs and poultry in 2014
are presented. Single-sample and batch-based data from the different monitoring systems are
summarised.
2.4.2.
Campylobacter data
Humans
The notification of campylobacteriosis is mandatory in most MS, Iceland, Norway and Switzerland,
except for six MS, where notification is based on a voluntary system (Belgium, France, Italy,
10
Regulation (EC) No 2160/2003 of the European Parliament and of the Council and Regulation of 17 November 2003 on the
control of Salmonella and other specified food-borne zoonotic agents. OJ L 325, 12.12.2003, pp. 1–15.
11
Decision of the EEA Joint Committee No 101/2006 of 22 September 2006 amending Annex I (Veterinary and phytosanitary
matters) to the EEA Agreement. OJ L 333, 30.11.2006, pp. 6–9.
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Luxembourg and the Netherlands) or other system (the United Kingdom). No surveillance system
exists in Greece and Portugal. The surveillance systems for campylobacteriosis have full national
coverage in all MS except five (Belgium, France, Italy, the Netherlands and Spain). The coverage of
the surveillance system is estimated to be 20% in France, 52% in the Netherlands and 30% in Spain.
These proportions of populations were used in the calculation of notification rates for these three MS.
Diagnosis of human infection is generally based on culture from human stool samples and both
culture and non-culture methods (polymerase-chain reaction (PCR)-based) are used for confirmation.
Biochemical tests or molecular methods are used for species determination of isolates submitted to
the National Reference Level Laboratory.
Food
In food, Campylobacter is notifiable in the following 11 MS: Belgium, the Czech Republic, Estonia (only
C. jejuni), Germany, Italy, Latvia, the Netherlands, Poland, Slovakia, Slovenia and Spain.
Campylobacter is also notifiable in Iceland and Norway. Information on Campylobacter notification
was not provided from Croatia, Cyprus, France, Lithuania, Luxembourg, Malta, Portugal and Romania.
Bulgaria did not test for Campylobacter. At processing, cutting and retail, sampling was predominantly
carried out on fresh meat. Food samples were collected in several different contexts, i.e. continuous
monitoring or control programmes, surveys and as part of HACCP programmes implemented within
the food industry. Samples reported as HACCP or own controls were not included for analysis and,
unless stated differently in the specific section, data from suspect and selective sampling and outbreak
or clinical investigations were also excluded.
Animals
Campylobacter is notifiable in G. gallus in the Czech Republic, Finland, Slovenia, Iceland and Norway,
in cattle in Germany and in all animals in Belgium, Estonia (only C. jejuni), Ireland, Latvia, the
Netherlands, Spain and Switzerland. Information on Campylobacter notification was not provided from
Bulgaria, Croatia, Cyprus, France, Lithuania, Malta and Poland. The most frequently used methods for
detecting Campylobacter in animals at farm, slaughter and in food were bacteriological methods (ISO,
2006; Nordic Committee on Food Analysis (NMKL), 2007) as well as PCR methods. In some countries,
isolation of the organism is followed by biochemical tests for speciation. For poultry sampled prior to
slaughter, faecal material was collected either as cloacal swabs or as sock samples (faecal material
collected from the floor of poultry houses by pulling gauze over footwear and walking through the
poultry house). At slaughter, several types of samples were collected, including cloacal swabs, caecal
contents and/or neck skin.
2.4.3.
Listeria data
Humans
The notification of listeriosis in humans is mandatory in most MS, Iceland, Norway and Switzerland,
except for three MS, where notification is based on a voluntary system (Belgium, Spain, and the
United Kingdom). No surveillance system exists in Portugal. The surveillance systems for listeriosis
have full national coverage in all MS except Spain, where the estimated coverage is 30%. This
population proportion was used in the calculation of notification rates for Spain. Diagnosis of human
infections is generally done by culture from blood, cerebrospinal fluid and vaginal swabs.
Food
Notification of L. monocytogenes in food is required in 11 MS (Belgium, Estonia, France, Germany,
Hungary, Italy, Latvia, the Netherlands, Slovakia, Slovenia and Spain); however, several other MS
reported data. Commission Regulation (EC) No 2073/2005 on microbiological criteria for foodstuffs
lays down food safety criteria for L. monocytogenes in ready-to-eat (RTE) foods. This Regulation
came into force in January 2006. Surveillance in RTE foods was performed in most MS. However,
owing to differences in sampling and analytical methods, comparisons from year to year were difficult.
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Animals
Listeria in animals was notifiable in 13 MS (Belgium, the Czech Republic, Estonia, Finland, Germany,
Greece, Latvia, Lithuania, the Netherlands, Slovakia, Slovenia, Spain and Sweden), Switzerland and
Norway (information is missing from Bulgaria, Croatia, Cyprus, Ireland, Malta and Poland). The
monitoring of Listeria in animals is mainly conducted through passive, laboratory-based surveillance of
clinical samples, active routine monitoring or random national surveys.
2.4.4.
VTEC data
Humans
The notification of VTEC infections is mandatory in most MS, Iceland, Norway and Switzerland, except
for five MS, where notification is based on a voluntary system (Belgium, France, Italy and
Luxembourg) or other system (the United Kingdom). No surveillance system exists in Portugal. The
surveillance systems for VTEC infections have full national coverage in all MS except three (Belgium,
France and Italy). The VTEC surveillance in France is centred on paediatric haemolytic uraemic
syndrome (HUS) surveillance, and in Italy is primarily based on the National registry of HUS. Diagnosis
of human VTEC infections is generally done by culture from stool samples although diagnosis by direct
detection of the toxin or the toxin genes, without strain isolation, is increasing.
Food and animals
VTEC is notifiable in food in 10 MS (Belgium, Estonia, Germany, Italy, Latvia, the Netherlands,
Romania, Slovakia, Slovenia and Spain) and in animals in eight MS (Belgium, the Czech Republic,
Estonia, Finland, Latvia, Lithuania, Spain and Sweden). Information is missing from Bulgaria, Croatia,
Cyprus, the Czech Republic, Denmark, Greece, Hungary, Lithuania, Malta, Poland, Portugal and
Switzerland for food, and from Bulgaria, Cyprus, France, Germany, Greece, Ireland, Malta, Poland,
Portugal and Romania for animals.
Samples were collected in a variety of settings, such as slaughterhouses, cutting plants, dairies,
wholesalers and at retail level, and included different types of samples such as carcase surface swabs,
cuts of meats, minced meat, milk, cheese and other products. The majority of investigated products
were raw but intended to undergo preparation before consumption. The samples were taken as part
of official control and monitoring programmes as well as random national surveys. The number of
samples collected and types of food sampled varied among individual MS. Most of the animal samples
were collected at the slaughterhouse or at the farm.
2.4.5.
Yersinia data
Humans
Notification of yersiniosis in humans is mandatory in most MS, Iceland, Norway and Switzerland.
Belgium, France, Italy and Luxembourg have a voluntary notification system and the United Kingdom
has another system. No surveillance system exists in Greece, the Netherlands and Portugal. The
surveillance systems for Yersinia infections have full national coverage in all MS except three
(Belgium, France and Italy). In Switzerland, yersiniosis in human is not notifiable. The estimated
coverage of the sentinel surveillance for yersiniosis in Spain is 30%, and this population proportion
was used in the calculation of notification rates. Diagnosis of human gastrointestinal infections is
generally done by culture from human stool samples.
Food and animals
Yersinia is notifiable in food in nine MS (Belgium, Estonia, Germany, Italy, Latvia, the Netherlands,
Slovakia, Slovenia and Spain) and Norway, and in animals in seven MS (Belgium, Ireland, Latvia,
Lithuania, the Netherlands, Slovenia and Spain) and two non-MS (Norway and Switzerland).
Information was not provided from Bulgaria, Croatia, Cyprus, the Czech Republic, Denmark, France,
Greece, Hungary, Lithuania, Malta, Portugal, Romania and Switzerland for food, and from Bulgaria,
Croatia, Cyprus, France, Germany, Greece, Malta and Poland for animals. Only eight MS reported data
on Yersinia, and primarily, domestic animals were tested. The reporting of specific human pathogenic
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serotypes/biotypes found in food and animals is often lacking and differences in sampling and
analytical methods make comparison between countries difficult.
2.4.6.
Tuberculosis data
Humans
The notification of tuberculosis in humans is mandatory in all MS, Iceland, Norway and Switzerland
with full national coverage. In France, the notification system for human tuberculosis, however, does
not distinguish between tuberculosis cases caused by different species of Mycobacterium. Therefore,
no reporting of cases due to M. bovis is available from France.
Animals
Tuberculosis in animals is notifiable in 25 MS, Norway and Switzerland (information was not provided
from Bulgaria and Malta). In Cyprus, Greece, Hungary, Poland and Romania only bovine tuberculosis
is notifiable, and in Ireland only tuberculosis in ruminant animals is notifiable. Rules for intra-EU
bovine trade, including requirements for cattle herds and country qualification as officially free from
tuberculosis, are laid down in Council Directive 64/432/EC,12 as last amended by Commission Decision
2007/729/EC.13 More detailed information regarding the status of EU MS, Norway and Switzerland and
regions thereof in relation to cattle tuberculosis can be found in European Commission’s DG SANCO’s
annual reports on bovine and swine diseases (EC, online).
2.4.7.
Brucella data
Humans
The notification of brucellosis in humans is mandatory in all MS, Iceland, Norway and Switzerland
except Belgium, Denmark and the United Kingdom. Both the voluntary surveillance system in Belgium
and the one in the United Kingdom however have full national coverage. In Denmark, brucellosis is
not notifiable and no surveillance system is in place.
Food
The notification of Brucella in food is mandatory in nine MS (Belgium, Finland, Germany, Italy, Latvia,
the Netherlands, Slovenia, Spain and the United Kingdom). Information was not provided from
Bulgaria, Cyprus, the Czech Republic, Denmark, France, Greece, Lithuania, Luxembourg, Malta,
Poland, Portugal, Romania, Slovakia and Switzerland.
Animals
Brucellosis in animals is notifiable in 24 MS, Norway and Switzerland (information was not provided
from Bulgaria, Cyprus and Malta). Rules for intra-EU bovine trade, including requirements for cattle
herds and country qualification as officially free from brucellosis, are laid down in Council Directive
64/432/EC, as last amended by Commission Decision 2007/729/EC. Rules for intra-EU trade of ovine
and caprine animals and country qualification as officially free from ovine and caprine brucellosis,
caused by B. melitensis (ObmF), are laid down in Council Directive 91/68/EEC,14 as last amended by
Council Directive 2008/73/EC.15 More detailed information regarding the status of EU MS, Norway and
12
Council Directive 64/432/EEC of 26 June 1964 on animal health problems affecting intra-Community trade in bovine animals
and swine. OJ L 121, 29.07.1964, pp. 1977–2012.
13
Commission Decision 2007/729/EC of 7 November 2007 amending Council Directives 64/432/EEC, 90/539/EEC, 92/35/EEC,
92/119/EEC, 93/53/EEC, 95/70/EC, 2000/75/EC, 2001/89/EC, 2002/60/EC, and Decisions 2001/618/EC and 2004/233/EC as
regards lists of national reference laboratories and State institutes. OJ L 294, 13.11.2007, pp. 26–35.
14
Council Directive 91/68/EEC of 28 January 1991 on animal health conditions governing intra-Community trade in ovine and
caprine animals. OJ L 46, 19.2.1991, pp. 19–36.
15
Council Directive 2008/73/EC of 15 July 2008 simplifying procedures of listing and publishing information in the veterinary and
zootechnical fields and amending Directives 64/432/EEC, 77/504/EEC, 88/407/EEC, 88/661/EEC, 89/361/EEC, 89/556/EEC,
90/426/EEC, 90/427/EEC, 90/428/EEC, 90/429/EEC, 90/539/EEC, 91/68/EEC, 91/496/EEC, 92/35/EEC, 92/65/EEC,
92/66/EEC, 92/119/EEC, 94/28/EC, 2000/75/EC, Decision 2000/258/EC Directives 2001/89/EC, 2002/60/EC and
2005/94/EC. OJ L 219, 14.8.2008, pp. 40–54.
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Switzerland and regions thereof in relation to cattle tuberculosis can be found in European
Commission’s DG SANCO’s annual reports on bovine and swine diseases (EC, online).
2.4.8.
Trichinella data
Humans
The notification of Trichinella infections in humans is mandatory in all MS, Iceland, Norway and
Switzerland, except Belgium, Denmark, France and the United Kingdom. Belgium, France and the
United Kingdom have voluntary surveillance systems for trichinellosis with full national coverage in
France and the United Kingdom. No surveillance system for trichinellosis exists in Denmark. In
humans, diagnosis of Trichinella infections is primarily based on clinical symptoms and serology
(indirect enzyme-linked immunosorbent assay (i-ELISA) and Western blot). Histopathology on muscle
biopsies is rarely performed.
Food and animals
Trichinella in food is notifiable in 17 MS and Norway. Ireland and Switzerland report that Trichinella is
not notifiable. Information was not provided from Bulgaria, Croatia, Cyprus, the Czech Republic,
Denmark, Latvia, Lithuania, Luxembourg, Malta and the Netherlands.
Trichinella infections in animals are notifiable in all MS except Hungary (information was not provided
from Croatia and Malta) and Switzerland.
Rules for testing for Trichinella in slaughtered animals are laid down by Commission Regulation (EC)
No 2075/2005.16 In accordance with this Regulation, all finisher pigs, sows, boars, horses, wild boar
and some other wild species must be tested for Trichinella at slaughter. Some MS reported using
digestion and compression methods as described in Council Directive 77/96/EEC. 17 In 2014
Commission Regulation (EU) No 216/201418 amending Regulation (EC) No 2075/2005 came into force.
The Regulation states that the reporting of data on domestic swine shall, at least, provide specific
information related to number of animals raised under controlled housing conditions and number of
breeding sows, boars and fattening pigs tested. Further, the Regulation states that a negligible risk
status for a country or region is no longer recognised in an international context by the World
Organisation for Animal Health (OIE). Instead, such recognition is linked to compartments of one or
more holdings applying specific controlled housing conditions. Belgium and Denmark have had such a
status since 2011, and holdings and compartments in those two MS which complied with the
conditions for controlled housing at the date of entry into force of this Regulation, are allowed to
apply for the status as negligible risk without additional prerequisites.
2.4.9.
Echinococcus data
Humans
Cases of both cystic and alveolar echinococcosis are reported jointly to ECDC as echinococcosis since
the EU case definition does not distinguish between the two forms of the disease. ECDC can
differentiate between the two forms in the data only by analysing the reported species. The
notification of echinococcosis in humans is mandatory in most MS, Iceland and Norway. Four MS
(Belgium, France, the Netherlands and the United Kingdom) have a voluntary surveillance system for
echinococcosis. Denmark and Italy have no surveillance system for echinococcosis. In Switzerland,
echinococcosis in human is not notifiable.
16
Commission Regulation (EC) No 2075/2005 of 5 December 2005 laying down specific rules on official controls for Trichinella in
meat. OJ L 338, 22.12.2005, pp. 60–82.
17
Council Directive 77/96/EEC of 21 December 1976 on the examination for trichinae (trichinella spiralis) upon importation from
third countries of fresh meat derived from domestic swine. OJ L 26, 31.1.1977, pp. 67–77.
18
Commission Regulation (EU) No 216/2014 of 7 March 2014 amending Regulation (EC) No 2075/2015 laying down specific
rules on official controls for Trichinella in meat. OJ L 69/85, 8.3.2014. pp. 85–92.
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Food and animals
Echinococcus is notifiable in food in 10 MS (Belgium, Estonia, Finland, Hungary, Italy, Latvia, the
Netherlands, Slovenia, Spain and Sweden) and Norway and not notifiable in food in Ireland, Slovakia
and the United Kingdom. Information was not provided from Bulgaria, Croatia, Cyprus, the Czech
Republic, Denmark, France, Greece, Germany, Lithuania, Luxembourg, Malta, Poland, Portugal,
Romania and Switzerland. Echinococcus is notifiable in animals in 18 MS (Austria, Belgium, Denmark,
Estonia, Finland, Germany, Greece, Italy, Latvia, Lithuania, the Netherlands, Portugal, Romania,
Slovakia, Slovenia, Spain, Sweden and the United Kingdom), Norway and Switzerland and not
notifiable in animals in the Czech Republic, France, Hungary and Luxembourg (information was not
provided from Bulgaria, Croatia, Cyprus, Ireland, Malta and Poland).
Guidelines for the control of E. granulosus through inspection at slaughtering are provided through
Council Directive 64/433/EC,19 whereby visual inspection of all slaughtered animals is carried out by
official veterinarians examining organs. Organs are destroyed in cases where Echinococcus cysts are
found.
2.4.10. Toxoplasma data
Humans
Data on congenital toxoplasmosis in the EU in 2014 are not included in this report but the data will be
available in the ECDC Surveillance Atlas (in preparation).
Animals
Toxoplasmosis is a notifiable disease in Latvia, Poland and Switzerland in all animals and in Finland in
all animals except hares, rabbits and rodents; no active monitoring programmes are in place in
Switzerland. In Germany, toxoplasmosis is notifiable in pigs, dogs and cats. In Austria, Denmark, and
Sweden toxoplasmosis is not notifiable (information is missing from Belgium, Bulgaria, Cyprus, the
Czech Republic, Estonia, France, Greece, Hungary, Ireland, Italy, Lithuania, Luxembourg, Malta, the
Netherlands, Portugal, Romania, Slovakia, Slovenia, Spain and the United Kingdom).
2.4.11. Rabies data
Humans
The notification of rabies in humans is mandatory in most MS, Iceland, Norway and Switzerland.
Belgium has a voluntary notification system and the United Kingdom has another system. Most
countries use the EU case definition apart from Belgium, Denmark, Finland, France, Germany and
Italy who have other/non specified case definitions. Most countries examine human cases based on
blood samples or cerebrospinal fluid, and saliva. However, in the case of post- mortem examinations,
the central nervous system is sampled. Identification is mostly based on antigen detection, viral
genome detection by real time reverse transcriptase-polymerase chain reaction (RT-PCR) and/or
isolation of virus.
Animals
Rabies is a notifiable disease in all MS and Switzerland. In animals, most countries test samples from
the central nervous system. Identification is mostly carried out using the fluorescent antibody test
(FAT), which is recommended by both World Health Organization (WHO, 1996) and World
Organisation for Animal Health (OIE, 2009), and the cell isolation virus test. However, PCR and real
time PCR are also used.
19
Council Directive 64/433/EC of 26 June 1964 on health problems affecting intra-Community trade in fresh meat. OJ L 121,
29.7.1964, pp. 2012–2032.
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2.4.12. Q fever data
Humans
The notification of Q fever in humans is mandatory in 23 MS, Iceland, Norway and Switzerland. The
disease is not notifiable in Austria, Denmark and Italy. Belgium, France, Spain and the United
Kingdom have a voluntary system, which for Belgium and Spain is based on sentinel surveillance. The
population covered by the sentinel surveillance system is estimated to be 30% for Spain and unknown
for Belgium, but is reported constantly over the study years. Cases are reported in an aggregated
format by Bulgaria and Croatia, and case-based for the other countries. Countries use EU case
definitions apart for Belgium, Finland, France, Germany and Romania (not specified).
Animals
C. burnetii in animals is notifiable in 15 MS (Bulgaria, the Czech Republic, Denmark, Finland, France,
Germany, Greece, Italy, Latvia, Lithuania, the Netherlands, Poland, Slovenia, Spain and Sweden) and
Switzerland. In Austria, C. burnetii in animals is not notifiable (information is missing from the
remaining 11 MS and Norway).
Data reported are mostly based on suspect sampling due to an increase in abortions in the herd and
identification is mostly carried out using serological testing methods as ELISA or immunofluorescence
assay (IFA) tests or direct identification methods such as real-time PCR.
2.4.13. West Nile virus data
Humans
The notification of West Nile fever (WNF) in humans is mandatory in 20 MS, Norway and Switzerland.
Croatia did not report in 2014. The disease is not notifiable in Denmark, Germany and Portugal.
Austria, Belgium, France and the United Kingdom have a voluntary system, which in Belgium and
France is based on sentinel surveillance, and in Austria and the United Kingdom on another,
unspecified, surveillance system. The population covered by the sentinel surveillance systems is
unknown, but in both cases is reported constantly over the study years. Italy also has no national
coverage. EU case definitions are used by most countries apart from Belgium, Finland, Italy and the
United Kingdom (not specified). The reporting is case-based in all countries.
Total case numbers for WNF were used because case confirmation according to the EU case definition
is usually carried out only when cases occur in previously unaffected areas. Subsequently, some of the
cases are diagnosed with laboratory methods for probable cases. Thus, both probable and confirmed
cases reflect more accurately the epidemiological situation. This approach is also used for the
seasonal real-time monitoring of West Nile cases in the EU carried out by ECDC.
Animals
Reporting of WNV in animals is not mandatory. But where the epidemiological situation in a MS so
warrants, WNV in animals shall also be monitored. WNV infection is notifiable in horses in Great
Britain and in animals in Switzerland.
2.4.14. Tularaemia data
Humans
The notification of tularaemia in humans is mandatory in most MS, Norway and Switzerland. The
disease is not notifiable in Denmark, Liechtenstein and Portugal. Two MS (Belgium and the United
Kingdom) have a voluntary surveillance system for tularaemia in humans, and it is not specified for
the Netherlands. Reporting is in aggregated format for Bulgaria, case-based for the other countries.
Most countries use the EU case definition; Belgium, Finland, France, Germany, Italy and the
Netherlands use another non-specified case definition.
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Animals
The notification of tularaemia in animals is mandatory in Switzerland.
2.4.15. Other zoonoses and zoonotic agent data
Food and animals
Cysticercus in food and animals: Monitoring is carried out as a visual inspection (macroscopic
examination) of carcases at the slaughterhouse by meat inspection according to Regulation (EC) No
854/2004.20
2.4.16. Food-borne outbreak data
Food-borne outbreaks are incidents of two or more human cases of the same disease or infection in
which the cases are linked or are probably linked to the same food vehicle. Situations in which the
observed human cases exceed the expected number of cases and where the same food source is
suspected are also indicative of a food-borne outbreak.
In 2014, for the first time MS had the possibility of providing the same information for ‘weak-evidence’
food-borne outbreaks as for the ‘strong-evidence’ food-borne outbreaks. For all outbreaks the type of
evidence should be reported, and if available, information on food vehicle and its origin, nature of
evidence linking the outbreak cases to the food vehicle, type of outbreak, setting, place of origin of
the problem and contributory factors should be reported. All food-borne outbreaks are included in the
general tables and figures. The denominators used for the calculation of the reporting rates were the
human populations from the EUROSTAT as extracted on 12 December 2014.
2.5.
Terms used to describe prevalence or proportion positive values
In the report a set of standardised terms are used to characterise the proportion of positive sample
units or the prevalence of zoonotic agents in animals and food:
Rare:
< 0.1%
Very low:
0.1–1%
Low:
> 1–10%
Moderate:
> 10–20%
High:
> 20–50%
Very high:
> 50–70%
Extremely high: > 70%
20
Regulation (EC) No 854/2004 of the European Parliament and of the Council of 29 April 2004 laying down specific rules for
the organisation of official controls on products of animal origin intended for human consumption. OJ L 139, 30.4.2004,
pp. 206-320.
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3.
Assessment
This report section provides a descriptive and qualitative EU assessment of the specific zoonoses
during 2014.
3.1.
Salmonella
The Appendix contains hyperlinks to all data summarised for the production of this section, for
humans, food, animals, feed and for food-borne outbreaks. It also includes hyperlinks to Salmonella
summary tables and figures that were not included in this section because they did not trigger any
marked observation. The summarised data are presented in downloadable Excel and PDF files, and
are listed by each specific subject.
3.1.1.
Salmonellosis in humans
A total of 90,238 salmonellosis cases were reported by 28 EU MS for 2014, with 88,715 confirmed
cases and an EU notification rate of 23.4 cases per 100,000 (Table 2). This represented a 15.3%
increase in the EU notification rate compared with 2013 (20.3 cases per 100,000). The inclusion of
Croatia for the first time in 2014 and the exclusion of Italy in 2014 due to incomplete reporting in
notification rate calculations increased the notification rate by 4.9% and 10.4% respectively.
The highest notification rates in 2014 were reported by the Czech Republic (126.1 cases per
100,000 population) and Slovakia (75.3 per 100,000), while the lowest rates were reported by
Portugal and Greece (≤ 4.0 per 100,000). The large increase in notification rate in the Czech Republic
was accompanied by an increase in the number of Salmonella outbreaks in 2014. This was also seen
in Slovenia where nine Salmonella outbreaks were reported from April to October 2014; eight were
foodborne and caused by S. Enteritidis and one was waterborne caused by S. Typhimurium. In Spain,
improved coverage of the surveillance system for salmonellosis in 2014 resulted in an increase in
reported cases and notification rate.
The proportion of domestic cases versus travel-associated cases varied markedly between countries,
with the highest proportions of domestic cases ranging from 81.5% to 99.9% in the Czech Republic,
Estonia, Germany, Greece, Hungary, Latvia, Malta, the Netherlands and Slovakia. The highest
proportion of travel-related cases were reported by three Nordic countries – Finland, Norway and
Sweden – where more than 70% of the cases were classified as travel-related.
Table 2:
Country
Austria
Belgium(b)
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
France(c)
Germany
Greece
Hungary
Ireland
Italy(d)
Latvia
Lithuania
Luxembourg
Malta
Netherlands(e)
Reported human cases of salmonellosis and notification rates per 100,000 population in
the EU/EEA, by country and year, 2010–2014
2014
National
Data
Total
coverage(a) format(a) cases
Y
N
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
–
Y
Y
Y
Y
N
www.efsa.europa.eu/efsajournal
C
C
A
A
C
C
C
C
C
C
C
C
C
C
–
C
C
C
C
C
1,659
2,698
730
1,494
88
13,478
1,124
93
1,622
8,860
16,222
349
5,523
259
1,168
282
1,145
110
132
969
2013
Confirmed
Confirmed
cases & rates cases &rates
Cases Rate Cases Rate
1,654
19.4
1,404 16.6
2,698
–
2,528
–
730
10.1
766
10.5
1,494
35.2
–
–
88
10.3
79
9.1
13,255 126.1 9,790 93.1
1,124
20.0
1,137 20.3
92
7.0
183
13.9
1,622
29.8
1,986 36.6
8,860
28.0
8,927 28.4
16,000 19.8 18,696 22.8
349
3.2
414
3.7
5,249
53.1
4,953 50.2
259
5.6
326
7.1
1168
–
4,660 7.8
278
13.9
385
19.0
1,145
38.9
1,199 40.4
110
20.0
120
22.3
132
31.0
84
19.9
969
9.0
979
9.1
32
2012
2011
2010
Confirmed
Confirmed
Confirmed
cases & rates cases & rates cases & rates
Cases Rate Cases Rate Cases Rate
1,773
21.1
1,432 17.0 2,179
26.0
3,101
–
3,177
–
3,169
–
839
11.5
924
12.5 1,154
15.5
–
–
–
–
–
–
90
10.4
110
13.1
136
16.6
10,056 95.7
8,499 81.0 8,209
78.5
1,207
21.6
1,170 21.0 1,608
29.1
249
18.8
375
28.2
381
28.6
2,199
40.7
2,098 39.0 2,421
45.2
8,705
27.8
8,685 27.8 7,184
23.1
20,493 25.1 23,982 29.4 24,833 30.4
404
3.6
471
4.2
297
2.7
5,462
55.2
6,169 62.8 5,953
60.4
309
6.7
311
6.8
349
7.7
4,829
8.1
4,467
7.5
5,319
9.0
547
26.8
995
48.0
877
41.4
1,762
58.7
2,294 75.2 1,962
62.4
136
25.9
125
24.4
211
42.0
88
21.1
129
31.1
160
38.6
2,198
20.5
1,284 12.0 1,447
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2014
National
Data
Total
coverage(a) format(a) cases
2013
2012
2011
2010
Confirmed
Confirmed
Confirmed
Confirmed
Confirmed
Country
cases & rates cases &rates cases & rates cases & rates cases & rates
Cases Rate Cases Rate Cases Rate Cases Rate Cases Rate
Poland
Y
A
8,392
8,038
21.1
7,308 19.0 7,952
20.6
8,400 21.8 9,257
24.3
Portugal
Y
C
267
261
2.5
167
1.6
185
1.8
174
1.7
205
2.0
Romania
Y
C
1,644
1,512
7.6
1,302 6.5
698
3.5
989
5.0
1,285
6.4
Slovakia
Y
C
4,380
4,078
75.3
3,807 70.3 4,627
85.6
3,897 72.3 4,942
91.7
Slovenia
Y
C
597
597
29.0
316
15.4
392
19.1
400
19.5
363
17.7
Spain(f)
N
C
6,643
6643
47.6
4,537 32.4 4,224
36.1
3,786 32.5 4,420
38.0
Sweden
Y
C
2,211
2,211
22.9
2,842 29.7 2,922
30.8
2,887 30.7 3,612
38.7
United Kingdom
Y
C
8,099
8,099
12.6
8,465 13.2 8,812
13.9
9,455 15.1 9,670
15.6
EU Total
–
–
90,238 88,715 23.4 87,360 20.3 94,259 22.0 96,685 20.9 101,603 22.1
Iceland
Y
C
40
40
12.3
48
15.2
38
11.9
45
14.1
34
10.7
Norway
Y
C
1,120
1,118
21.9
1,361 26.9 1,371
27.5
1,290 26.2 1,370
28.2
Switzerland(g)
Y
C
1,238
1,238
15.2
1,271 15.8 1,242
15.6
1,301 16.5 1,177
15.1
(a): Y: yes; N: no; A: aggregated data; C: case-based data; –: no report.
(b): Sentinel surveillance; no information on estimated coverage. Thus, notification rate cannot be estimated.
(c): Sentinel system; notification rates calculated with an estimated population coverage of 48%.
(d): Provisional data for 2014.
(e): Sentinel system; notification rates calculated with an estimated population coverage of 64%.
(f): Notification rates calculated with an estimated population coverage of 30% in 2013–2014 and 25% in 2009–2012.
(g): Switzerland provided data directly to EFSA. The human data for Switzerland also include the ones from Liechtenstein.
A seasonal trend was observed for confirmed salmonellosis cases reported in the EU/EEA in 2008–
2014, with most cases reported during summer months (Figure 3). Over the same 7-year-period,
despite the overall increase in reported cases in 2014, there was a statistically significant (p < 0.01)
decreasing trend for salmonellosis in the EU/EEA with significantly decreasing trends in nine MS
(Belgium, Cyprus, Denmark, Finland, Germany, Ireland, Slovakia, Sweden and the United Kingdom). A
significant increasing trend was observed in two MS (France and Spain).
Source: Belgium, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland,
Lithuania, Luxembourg, Malta, Netherlands, Norway, Portugal, Slovakia, Slovenia, Spain, Sweden and the United Kingdom.
Austria, Bulgaria, Croatia, Italy, Latvia, Poland and Romania did not report data to the level of detail required for the analysis.
Figure 3: Trend in reported confirmed human cases of non-typhoidal salmonellosis in the EU/EEA,
by month of reporting, 2008–2014
Fourteen MS provided information on hospitalisation for some or all of their cases. Latvia reported
hospitalisation status for the first time in 2014, increasing the proportion of confirmed cases at the EU
level with known hospitalisation status from 26.4% to 32.2% and resulting in a decrease of the
proportion of cases hospitalised from 36.0% to 34.4%. The highest hospitalisation proportions were
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reported in Cyprus, Greece Portugal and Romania (77–86% of cases hospitalised). These countries
also reported the lowest notification rates of salmonellosis, which indicates that the surveillance
systems in these countries primarily capture the more severe cases.
Fifteen MS provided data on the outcome and follow-up of their cases reported in 2014, and, among
them, 11 MS reported a total of 65 fatal cases. This gives an EU case fatality of 0.15% among the
43,995 confirmed cases for which this information was reported (49.6% of all confirmed cases).
Information on Salmonella serovars from cases of human infection was available from 25 MS
(Bulgaria, Croatia and Poland reported no case-based serovar data) and Iceland and Norway. As in
previous years, the two most commonly reported Salmonella serovars in 2014 were S. Enteritidis and
S. Typhimurium, representing 44.4% and 17.4%, respectively, of all reported serovars in
74,024 confirmed human cases with known serovar (Table 3). S. Enteritidis and S. Typhimurium were
reported by all MS. In 2014, the proportion of S. Enteritidis increased by 13.0% compared with 2013
with data from the Czech Republic being responsible for over 90% of the rise. The Czech Republic
also reported an increase in the number of Salmonella outbreaks in 2014. S. Typhimurium decreased
by 28.4% from 2012 to 2014. Monophasic S. Typhimurium 1,4,[5],12:i:-, the third most common
serovar, had almost returned to the level of 2012 after an increase in 2013 and were reported by
about half of the MS. Adding the cases of S. Typhimurium and its monophasic strains, a decrease by
21.7% was observed from 2012 to 2014.
S. Infantis, the fourth most common serovar, was reported by almost all MS and decreased to the
level of 2012 after the increase in 2013 (Table 3) S. Stanley, reported by 23 MS, was the fifth most
common serovar in 2014 and continued to decrease. Following the multi-country outbreak of
S. Stanley in the EU linked to contamination in the turkey production chain in 2011–2012, cases
peaked in 2012 and then decreased somewhat in 2013, but still remained at a higher level in 2014
than before the outbreak. Human case clusters were still being reported with the same molecular type
as the outbreak strain, suggesting that it was still circulating in the European food market in 2014
(ECDC and EFSA, 2014).
Two new serovars entered the list of the 20 most common serovars in 2014: S. Braenderup and
S. Chester. The highest increase compared with 2012 was observed for S. Chester (177.4%) with
several countries contributing from August 2014 onwards: Belgium, France, the Netherlands, Spain
and the United Kingdom. France accounted for the largest proportion of the increase with
126 confirmed cases in 2014. About one third of the cases in Belgium, France and Spain were related
to travel to Morocco. In France, more than 67%, and in Belgium, more than 86% of the cases were
reported in August–October 2014. Germany, Sweden and the United Kingdom also reported
S. Chester cases with a history of travel to Morocco, but did not see any increase in notified cases.
Germany accounted for a large proportion of the increase in S. Muenchen with 163 confirmed
outbreak-related cases reported in June–July 2013 and with 194 cases in June–July 2014.
The other serovars among the 20 most common remained at the same level or slightly decreased
from 2012 to 2014 with the largest decrease observed for serovars S. Agona (16.4%) and
S. Oranienburg (16.1%).
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Table 3:
Distribution of reported confirmed cases of human salmonellosis in the EU/EEA, 2012–
2014, by the 20 most frequent serovars in 2014
Serovar
2014
2013
2012
Cases
MS
%
Cases
MS
%
Cases
MS
%
32,878
12,867
5,770
27
27
13
44.4
17.4
7.8
29,090
14,852
6,313
27
27
14
39.5
20.2
8.6
32,917
17,975
5,836
27
27
12
41.0
22.4
7.3
Stanley
Derby
Newport
Kentucky
Virchow
Bovismorbificans
Java
Agona
Saintpaul
Muenchen
Napoli
Brandenburg
Chester
Hadar
Braenderup
Oranienburg
Other
1,841
757
753
752
605
509
441
388
378
374
368
333
294
294
286
276
261
13,599
26
23
23
20
21
22
22
15
23
19
17
14
20
18
16
17
17
–
2.5
1.0
1.0
1.0
0.8
0.7
0.6
0.5
0.5
0.5
0.5
0.4
0.4
0.4
0.4
0.4
0.4
18.4
2,226
714
813
818
651
571
412
581
401
448
434
290
111
267
238
245
274
13,883
25
21
21
21
23
22
20
24
18
17
14
17
13
19
10
19
15
-
3.0
1.0
1.1
1.1
0.9
0.8
0.6
0.8
0.5
0.6
0.6
0.4
0.2
0.4
0.3
0.3
0.4
18.9
1,929
969
730
754
626
532
410
445
452
354
242
365
302
106
300
454
311
14,286
26
20
21
21
23
20
20
18
18
18
20
16
17
13
20
17
16
–
2.4
1.2
0.9
0.9
0.8
0.7
0.5
0.6
0.6
0.4
0.3
0.5
0.4
0.1
0.4
0.6
0.4
17.8
Total
74,024
27
100.0
73,632
27
100.0
80,295
27
100.0
Enteritidis
Typhimurium
Monophasic Typhimurium
1,4,[5],12:i:Infantis
MS: Member State. Source: 25 MS and two non-MS; Austria, Belgium, Cyprus, Czech Republic, Denmark, Estonia, Finland,
France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway,
Portugal, Romania, Slovakia, Slovenia, Spain, Sweden and United Kingdom.
3.1.2.
Salmonella in food, animals and feedingstuffs
Comparability of data
It is important to note that results from different countries are not directly comparable owing to
between-country variation in the sampling and testing methods used. In addition, at EU-level, overall
results are highly influenced by the reporting MS and the sample sizes in their investigations, both of
which vary between years. Moreover, it should be taken into consideration that the proportion of
positive samples observed might have been influenced by the sampling season, because Salmonella
are known to be more prevalent in animals and to multiply in foods during the summer (Hald and
Andersen, 2001; Zdragas et al., 2012).
Only results for the most important food products and animals that might serve as a source for human
infection in the EU are presented.
Food
Twenty-six MS and three non-MS reported data on Salmonella in various foodstuffs. Most MS reported
data on Salmonella in food of animal origin, primarily pig meat, broiler meat and bovine meat
(Table 2014_SALMOVERVIEW).
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Compliance with microbiological criteria
The Salmonella criteria laid down by Regulation (EC) No 2073/2005 on microbiological criteria in
foodstuffs have been in force since 1 January 2006 (revised by Regulations (EC) No 1441/2007,
1086/201121 and 217/201422). The regulations prescribe sampling and testing requirements, and set
limits for the presence of Salmonella in specific food categories. These specified foods have a rather
diverse marketing pattern across the EU, contributing to not all MS reporting on them. Prescribed
samples are to be taken by food business operators; however, competent authorities are obliged to
verify correct implementation e.g. by taking similar official samples or scrutinising records. According
to these food safety criteria, Salmonella must be absent in these products when placed on the market,
during their shelf-life. Absence is defined by testing five or, depending on the food category,
30 samples of 25 g per batch. However, the definition of a batch varies widely and in official controls,
often only single samples are used to verify compliance with the criteria.
An evaluation of compliance with the Salmonella criteria at the EU level for 2011–2014 is summarised
in Figure 4 and the underpinning 2014 data are in Table 2014_SALMCOMPLFOOD in the appendix.
The evaluation includes only investigations where the sampling unit (single samples or batches) and
sampling stage at the retail level have been reported for the relevant food types. As in previous years,
the highest levels of non-compliance with Salmonella criteria generally occurred in foods of meat
origin, which are intended to be cooked before consumption. For these foods, minced meat and meat
preparations from poultry had the highest level of non-compliance (8.1% of single samples and 3.2%
of batches) (Figure 4). Low non-compliance was also reported for meat products from poultry meat
(1.7% of single samples and 0% of batches) and for minced meat and meat preparations from animal
species other than poultry (1.0% of single samples and 1.4% of batches). As regards foods of meat
origin intended to be eaten raw, in the product category minced meat and meat preparations 1.8% of
single samples were non-compliant, compared to 0.5% in 2013. In meat products intended to be
eaten raw there were only a few non-compliant findings. The occurrence of Salmonella in these foods
of meat origin intended to be eaten raw is of particular relevance because of the risk such foods pose
to human health in the absence of a mitigation step in preparation of the food.
In minced meat and meat preparations from poultry to be eaten cooked before consumption, in meat
products from poultry intended to be eaten cooked, and in minced meat and meat preparations from
other animal species than poultry intended to be eaten cooked there was no obvious trend in the
proportions of non-compliant units during the last 3 years.
Since December 2011, a Salmonella food safety criterion for S. Enteritidis and S. Typhimurium
(including monophasic S. Typhimurium strains with the antigenic formula 1,4,[5],12:i:-) in fresh
poultry meat (including fresh meat from breeding flocks of G. gallus, laying hens, broilers and
breeding and fattening flocks of turkeys) has been in force (Regulation (EC) No 1086/2011). As in
2013, reported non-compliance has remained a rare event; 0.1% of single samples and 0.2% of
batches non-compliant. Over the last 3 years, there is an overall decrease in the proportion of noncompliant single samples and batches of fresh poultry meat.
For egg products, non-compliance with the microbiological criteria was low (three samples (0.5%)
Salmonella-positive in a total of 636 single samples, and none of 17 batches found positive).
All samples/batches of dried infant formulae and dried dietary foods for medical purposes, milk and
whey powder and live bivalve molluscs and live echinoderms, tunicates and gastropods were found to
be compliant with the Salmonella criteria. Very low levels of non-compliance were reported for cooked
crustaceans and molluscan shellfish (0.6% of single samples and no batches). In 2014, all samples of
live bivalve, molluscs and lice echinoderms, tunicates and gastropods were in compliance with the
criteria which is the same as in 2012; however, in 2011 and in 2013 low levels of non-compliance
were reported. The proportion of non-compliant samples for the other food categories was very low or
rare, as observed in previous years.
21
Commission Regulation (EU) No 1086/2011 of 27 October 2011 amending Annex II to Regulation (EC) No 2160/2003 of the
European Parliament and of the Council and Annex I to Commission Regulation (EC) No 2073/2005 as regards salmonella in
fresh poultry meat. OJ L 281, 28.10.2011, pp. 7–11.
22
Commission Regulation (EU) No 217/2014 of 7 March 2014 amending Regulation (EC) No 2073/2005 as regards salmonella in
pig carcasses. OJ L 69, 8.3.2014, pp. 93–94.
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% non-compliant batches
0
1
2
3
4
5
6
7
8
9
Minced meat and meat preparations intended to be eaten raw (3
MS, N=95)
Minced meat and meat preparations from poultry intended to be
eaten cooked (5 MS, N=185)
Minced meat and meat preparations from other species than
poultry intended to be eaten cooked (8 MS, N=1,004)
Mechanically separated meat (3 MS, N=103)
Meat products intended to be eaten raw (3 MS, N=325)
Meat products from poultry meat intended to be eaten cooked (2
MS, N=9)
Gelatine and collagen (2 MS, N=11)
2011
Cheeses, butter and cream made from raw or low heat-treated milk
(5 MS, N=836)
2012
Milk powder and whey powder (3 MS, N=97)
2013
Ice-cream (5 MS, N=275)
2014
Egg products (2 MS, N=17)
Ready-to-eat foods containing raw egg (2 MS, N=39)
Cooked crustaceans and molluscan shellfish (3 MS, N=185)
Live bivalve molluscs and live echinoderms, tunicates and
gastropods (1 MS, N=195)
Ready-to-eat sprouted seeds (4 MS, N=51)
Ready-to-eat pre-cut fruit and vegetables (4 MS, N=424)
Ready-to-eat unpasteurised fruit and vegetable juices (2 MS,
N=199)
Dried infant formulae, and dried dietary foods for medical purposes
(2 MS, N=146)
Fresh poultry meat (6 MS, N=613)
The number of reporting MS and tested samples (in brackets after the food categories) refers to 2014 data. Includes
investigations where the sampling unit (single samples or batches) and sampling stage at retail (also catering, hospitals and
care homes) has been specified for the relevant food types.
Figure 4: Proportion of units (single samples) not complying with the EU Salmonella criteria, 2011–
2014
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EFSA Journal 2015;13(12):4329
EU summary report on zoonoses, zoonotic agents and food-borne outbreaks 2014
% non-compliant batches
0
1
2
3
4
5
6
7
8
9
Minced meat and meat preparations intended to be eaten raw (3
MS, N=95)
Minced meat and meat preparations from poultry intended to be
eaten cooked (5 MS, N=185)
Minced meat and meat preparations from other species than
poultry intended to be eaten cooked (8 MS, N=1,004)
Mechanically separated meat (3 MS, N=103)
Meat products intended to be eaten raw (3 MS, N=325)
Meat products from poultry meat intended to be eaten cooked (2
MS, N=9)
Gelatine and collagen (2 MS, N=11)
2011
Cheeses, butter and cream made from raw or low heat-treated milk
(5 MS, N=836)
2012
Milk powder and whey powder (3 MS, N=97)
2013
Ice-cream (5 MS, N=275)
2014
Egg products (2 MS, N=17)
Ready-to-eat foods containing raw egg (2 MS, N=39)
Cooked crustaceans and molluscan shellfish (3 MS, N=185)
Live bivalve molluscs and live echinoderms, tunicates and
gastropods (1 MS, N=195)
Ready-to-eat sprouted seeds (4 MS, N=51)
Ready-to-eat pre-cut fruit and vegetables (4 MS, N=424)
Ready-to-eat unpasteurised fruit and vegetable juices (2 MS,
N=199)
Dried infant formulae, and dried dietary foods for medical purposes
(2 MS, N=146)
Fresh poultry meat (6 MS, N=613)
The number of reporting MS and tested samples (in brackets after the food categories) refers to 2014 data. Includes
investigations where the sampling unit (single samples or batches) and sampling stage at retail (also catering, hospitals and
care homes) has been specified for the relevant food types.
Figure 4 (cont): Proportion of units (batches) not complying with the EU Salmonella criteria, 2011–
2014
Broiler meat and products thereof
Monitoring activities and control programmes for Salmonella in fresh broiler meat are based on
sampling at the slaughterhouse, where mainly neck skin samples are taken, and/or at processing or
cutting plants and at retail, where meat samples are usually collected.
Overall, Salmonella was detected in 2.8% of the 125,922 units tested (2.2% of single samples, down
from 3.5% in 2013, and 9.5% of batches, up from 5.6% in 2013). The overall proportion of
Salmonella-positive samples at retail was 2.3% which was lower than at the slaughterhouse (4.7%)
and similar to the processing plant (2.4%) level (Table 4).
Twelve MS reported at all three sampling stages, although, in some cases, the main monitoring or
surveillance activities were clearly at one or two sampling stages, with only a smaller number of
samples obtained at the other levels.
In 2014, Salmonella was found in 0.6% of the 2,263 units of RTE broiler meat products tested at retail
or at processing (0.4% of single samples and 1.7% of batches; Table 2014_SALMRTEBROIL).
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EU summary report on zoonoses, zoonotic agents and food-borne outbreaks 2014
Table 4:
Salmonella in fresh broiler meat at slaughter, processing/cutting level and retail level, 2014
Sampling
stage
Retail
Country
Matrix
Description
Austria
carcase
fresh
food sample, Surveillance
food sample, Surveillance
Belgium
Bulgaria
Cyprus
carcase
fresh
fresh, chilled
fresh, frozen
fresh
Surveillance
food sample - meat, Surveillance
food sample - meat, Surveillance
food sample - meat, Surveillance
food sample, Surveillance
food sample - meat, Surveillance
food sample - meat, Monitoring
Hungary
Ireland
fresh
fresh, with
skin
fresh
fresh
Italy
Latvia
fresh
fresh
food sample, Surveillance
food sample, Surveillance
Netherlands
Poland
fresh
fresh
Portugal
carcase,
chilled
fresh, chilled
fresh
fresh
food sample, Surveillance
food sample - neck skin,
Surveillance
food sample, Surveillance
food sample, Surveillance
food sample - meat, Surveillance
food sample, Surveillance
fresh, chilled
food sample, Surveillance
fresh, frozen
food sample, Surveillance
fresh
fresh
fresh
fresh, frozen
food sample, Surveillance
food sample - meat, Surveillance
food sample, Surveillance
food sample, Surveillance
Czech
Republic
Estonia
Germany
Romania
Slovakia
Slovenia
Spain
Sweden
Iceland
Batch
Single
Total Retail
Processing
plant
food sample - meat, Surveillance
food sample - meat, Surveillance
Sample Sampling Sample Tested Positive Percent
origin
unit
weight
positive
Austria
single 25 Gram
2
1
50
Austria
single 10 Gram
2
1
50
25 Gram
89
16
17.98
European single 25 Gram
29
9
31.03
Union
Unknown single 25 Gram
5
0
0
single 25 Gram
91
1
1.1
Bulgaria
single 25 Gram
11
0
0
Cyprus
single 25 Gram
1
0
0
Cyprus
single 25 Gram
1
0
0
Czech
batch 25 Gram
26
1
3.85
Republic
European batch 25 Gram
2
0
0
Union
Unknown batch 25 Gram
7
0
0
single 25 Gram
4
1
25
Germany single 25 Gram 429
20
4.66
single
single
single
single
single
25 Gram
25 Gram
25 Gram
25 Gram
25 Gram
single
single
single
25 Gram 145
25 Gram 628
25 Gram 10,773
Portugal
batch
25 Gram
Portugal
batch
batch
batch
Germany
Ireland
Italy
European
Union
Latvia
European
Union
European
Union
Slovakia
European
Union
Slovakia
Unknown
European
Union
328
1
1
7
120
60
0
0
0
9
18.29
0
0
0
7.5
0
23
127
0
3.66
1.18
5
0
0
25 Gram
25 Gram
25 Gram
115
128
28
0
5
0
0
3.91
0
batch
25 Gram
17
4
23.53
batch
batch
25 Gram
25 Gram
11
4
0
2
0
50
batch
single
single
single
single
25 Gram
25 Gram
25 Gram
25 Gram
.
1
50
110
1
86
0
18
1
0
0
0
36
0.91
0
0
12
287
299
1
3.49
2.24
2.27
50
Austria
fresh
food sample, Surveillance
Austria
single
344
12,828
13,172
10 Gram
2
Bulgaria
Cyprus
Czech
Republic
Estonia
Finland
fresh
fresh
fresh
food sample - meat, Surveillance
food sample - meat, Surveillance
food sample - meat, Surveillance
Bulgaria
Unknown
batch
batch
single
25 Gram
25 Gram
25 Gram
25 Gram
12
264
41
150
0
0
1
107
0
0
2.44
71.33
fresh
fresh
food sample - meat, Monitoring
food sample - meat, Control and
eradication programmes
food sample, Surveillance
food sample, Surveillance
food sample - meat, Surveillance
food sample - meat, Surveillance
food sample, Surveillance
food sample, Surveillance
Estonia
Finland
batch
batch
25 Gram
25 Gram
12
3
0
0
0
0
Unknown
Unknown
single
single
single
batch
single
batch
25 Gram
25 Gram
25 Gram
25 Gram
25 Gram
25 Gram
52
5
357
1
6
6
6
5
66
0
0
1
11.54
100
18.49
0
0
16.67
Greece
carcase
fresh, frozen
Hungary
fresh
Ireland
fresh
Italy
fresh
Netherlands
fresh
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39
Ireland
Italy
EFSA Journal 2015;13(12):4329
EU summary report on zoonoses, zoonotic agents and food-borne outbreaks 2014
Sampling
stage
Country
Matrix
Description
Poland
carcase
food sample - neck skin,
Surveillance
food sample - meat, Surveillance
fresh
Sample Sampling Sample Tested Positive Percent
origin
unit
weight
positive
single 25 Gram 3,747
57
1.52
batch
single
125
Gram
25 Gram
1,000
Gram
125
Gram
25 Gram
25 Gram
single
batch
batch
single
batch
25 Gram
25 Gram
25 Gram
25 Gram
25 Gram
52
37
6
31
781
5,798
75,841
81,639
2
7
0
1
0
660
1,256
1,916
3.85
18.92
0
3.23
0
11.38
1.66
2.35
single
25 Gram
6
0
0
single
single
1 Gram
25 Gram
293
175
1
4
0.34
2.29
single
25 Gram
904
50
5.53
single
1 Gram
585
47
8.03
single
25 Gram
43
9
20.93
batch
25 Gram
307
7
2.28
batch
batch
single
25 Gram
46
25 Gram
15
25 Gram 1,005
1
0
136
2.17
0
13.53
single
25 Gram
133
8
6.02
batch
277
4
1.44
batch
batch
300
Gram
25 Gram
25 Gram
14
183
0
0
0
0
batch
single
25 Gram
25 Gram
502
342
35
64
6.97
18.71
single
25 Gram
215
24
11.16
single
25 Gram
17
2
11.76
single
25 Gram
100
2
2
batch
0
0
74
520
3
4.8
3.44
0.74
batch
125
120
Gram
25 Gram 1,541
25 Gram 15,113
250
405
Gram
25 Gram 136
15
11.03
batch
single
25 Gram 163
25 Gram 1,004
98
141
60.12
14.04
single
25 Gram 2,923
0
0
single
Batch
Single
Total
Processing
plant
Slaughterhouse
Portugal
Romania
Slovakia
Spain
Sweden
fresh
fresh
fresh, chilled
fresh
fresh
food sample - neck skin,
Surveillance
food sample - meat, Surveillance
food sample - meat, Surveillance
food sample, Surveillance
food sample - meat, Surveillance
food sample - meat, Surveillance
Austria
fresh
food sample, Surveillance
Belgium
carcase
Surveillance
animal sample - caecum,
Surveillance
food sample - neck skin,
Surveillance
Surveillance
fresh, laying
hens
Bulgaria
Cyprus
Czech
Republic
Denmark
Estonia
Finland
Germany
Hungary
Ireland
Latvia
Poland
Portugal
Slovakia
Unknown
Austria
animal sample - caecum,
Surveillance
carcase
food sample - neck skin,
Bulgaria
Surveillance
carcase
food sample - meat, Surveillance
Cyprus
fresh
food sample, Surveillance
Cyprus
carcase
food sample - neck skin, Monitoring Czech
Republic
food sample - neck skin,
Unknown
Surveillance
carcase
food sample - neck skin,
Denmark
Surveillance
carcase
food sample - neck skin, Monitoring Estonia
carcase
food sample - neck skin, Control
Finland
and eradication programmes
carcase
food sample - neck skin, Monitoring Germany
carcase
food sample - neck skin,
Surveillance
carcase
food sample - neck skin,
Ireland
Surveillance
carcase,
food sample - neck skin,
Ireland
spent hens
Surveillance
carcase
food sample - neck skin,
Latvia
Surveillance
carcase
food sample - neck skin,
Surveillance
single
Romania
carcase
Slovakia
Spain
carcase
carcase
Sweden
carcase
www.efsa.europa.eu/efsajournal
food sample - neck skin,
Surveillance
food sample - neck skin, Monitoring Slovakia
food sample - carcase swabs,
Unknown
Surveillance
food sample - neck skin,
Surveillance
40
606
187
30.86
4,041
1,517
464
7
11.48
0.46
6
0
0
17,559
52,345
460
544
2.62
1.04
EFSA Journal 2015;13(12):4329
EU summary report on zoonoses, zoonotic agents and food-borne outbreaks 2014
Sampling
stage
Batch
Single
Total
Slaughterhouse
Border
inspection
activities
Batch
Single
Total Border
inspection
activities
Unspecified
Country
Matrix
Description
Iceland
carcase
food sample - neck skin,
Surveillance
Sample Sampling Sample Tested Positive Percent
origin
unit
weight
positive
Iceland
batch 25 Gram 712
1
0.14
3,304
23,263
26,567
234
1,011
1,245
7.08
4.35
4.69
Cyprus
fresh, frozen
food sample, Surveillance
Non EU
batch
25 Gram
2
0
0
Greece
Portugal
fresh
fresh
food sample, Surveillance
food sample - meat, Surveillance
Unknown
single
batch
25 Gram
25 Gram
80
90
92
80
172
0
4
4
0
4
0
4.44
4.35
0
2.33
Cyprus
Ireland
Poland
fresh
fresh
carcase
Unknown
Ireland
batch
single
single
25 Gram
1
25 Gram
1
25 Gram 1,913
0
0
1
0
0
0.05
Sweden
fresh
fresh
fresh, frozen
food sample - meat, Surveillance
food sample - meat, Surveillance
food sample - neck skin,
Surveillance
food sample - meat, Surveillance
food sample, Surveillance
food sample, Surveillance
single
single
single
25 Gram 2,440
25 Gram
18
25 Gram
2
1
4,374
4,375
56
1
0
0
58
58
2.3
5.56
0
0
1.33
1.33
910
2,612
3,522
9.54
2.24
2.8
Batch
Single
Total
Unspecified
Batch
Single
Total (MS)
9,539
116,386
125,925
Turkey meat and products thereof
In total, 7,482 units of fresh turkey meat were sampled and tested and, overall, 3.5% were
Salmonella-positive (3.5% of single samples and 3.6% of batches) (Table 2014_SALMTURKMEAT).
Most of the samples were taken at the slaughterhouse or processing plant (87%) and only a small
proportion at retail (7%). The majority of the tested units were from Poland, which reported 60.9% of
all units tested in the EU MS. The overall results for 2014 are lower compared with 2011–2013, where
the proportion of positive samples of turkey meat was between 4.6 and 5.6%. However, the 2014
overall EU result is strongly influenced by the results of investigations in Poland.
Of the 1,274 tested units of RTE products from turkey meat, only four single samples in an Italian
investigation at a processing plant were found to be Salmonella-positive (0.35% in total)
(Table 2014_SALMRTETURK). In 2013, 2,100 samples were examined and three single samples were
positive (0.14%).
Eggs and egg products
Since 1 January 2009, eggs shall not be used for direct human consumption as table eggs unless they
originate from a commercial flock of laying hens subject to a national Salmonella control programme
and fresh eggs from flocks found positive for S. Typhimurium or S. Enteritidis must be heat treated
before consumption (Regulation (EC) No 1237/200723).
In 2014 in total, 0.4% of the 13,394 tested table egg units were found to be Salmonella-positive
(0.3% of single samples and 1.0% of batches) (Table 2014_SALMEGGS). Most of the tested units
were reported by Germany (53%) and Poland (23%). In 2013, a total of 23,441 units of table eggs
were reported to have been tested, 0.1% of which were Salmonella-positive.
23
Commission Regulation (EC) No 1237/2007 of 23 October 2007 amending Regulation (EC) No 2160/2003 of the European
Parliament and of the Council and Decision 2006/696/EC as regards the placing on the market of eggs from Salmonella
infected flocks of laying hens. OJ L 280, 24.10.2007, p. 5–9.
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Generally, the proportion of positive units has been very low for the last couple of years. However,
only few MS report data, reporting MS change between years. Further, it should be noted that what
constituted a batch or single sample varied considerably in terms of weight (25–500 g) and content
(white, yolk or whole eggs) among the MS. Samples larger than 25 g accounted for 2% of the total
number of samples; however, this together with the variation in sample content should be kept in
mind when comparing the results. Lastly, it should be noted that a very large number of eggs are
consumed and multiplication of Salmonella in pooled raw egg products or before cooking is associated
with many outbreaks.
For egg products, none of 17 batches were found to be positive for Salmonella, whereas three out of
636 (0.5%) single samples tested positive (Figure 4). In 2013, 0.5% of 553 samples of egg products
were positive.
Pig meat and products thereof
Most of the national monitoring programmes for Salmonella in pig meat and products thereof are
based on sampling at the slaughterhouse by swabbing an area of the carcase and/or at the processing
or cutting plants where meat samples or environmental samples are usually collected. On 1 June
2014, Regulation (EC) No 2073/2005 was amended by Regulation (EC) No 217/2014 reducing the
number of accepted Salmonella positive samples from 5 out of 50 (10%) to 3 out of 50 (6%).
Within the EU, a total of 68,134 units of fresh pig meat were tested, of which 0.5% tested Salmonellapositive (Table 2014_SALMSPRSEED). In comparison, in 2013, 78,624 units of pig meat were
examined and 0.7% were positive. Most of these samples were tested at the slaughterhouse level
(84%) and were mainly reported by five MS, accounting for 84% of samples tested at this stage. Of
the total number of samples tested, 44% were from Poland, who reported data from some very large
investigations at the slaughterhouse and processing plant stages. Samples collected at
slaughterhouses were carcase swabs, while the sample types at processing plants and at retail level
were not specified. Four MS reported HACCP-based monitoring of Salmonella in pig carcases according
to Commission Regulation (EU) No 218/201424 that came into force from 1 January 2015. Most of
these (9,821 of a total of 10,030 units (3,038 batches and 6,992 single samples)) were carcases
swabs, while the rest were environmental samples or unspecified. Overall 0.2% of the units were
positive (Table 2014_SALMPIGCARCASHACCP).
In 2014, 0.7% of the 20,259 tested samples of RTE minced meat, meat preparations and meat
products from pig meat tested positive for Salmonella (Table 2014_SALMRTEPIG). Sixteen MS tested
3,463 samples at the retail level (17% of all samples of RTE pig meat), and three of them reported
21 positive samples (0.6%). In 2013, 27,662 samples of RTE pig meat were examined for Salmonella,
with 0.7% of samples positive.
Bovine meat and products thereof
Data from the testing of fresh bovine meat mainly originate from surveillance programmes, where
samples are collected at slaughterhouses (carcase swabs or meat samples) and/or at processing
plants, at retail or during border inspections (meat samples).
The overall proportion of positive samples among the 45,639 samples of fresh bovine meat tested in
MS was 0.1% (Table 2014_SALMBOVINEMEAT). Most of the samples were tested at the
slaughterhouse (53%). Sample sizes at slaughterhouses varied considerably, which should be taken
into account when assessing the results.
Two of the 2,873 units of RTE minced meat, meat preparations and meat products from bovine meat
tested in the MS were found to be Salmonella positive at the processing level
(Table 2014_SALMRTEBOVINE).
24
Commission Regulation (EU) No 218/2014 of 7 March 2014 amending Annexes to Regulations (EC) No 853/2004 and (EC) No
854/2004 of the European Parliament and of the Council and Commission Regulation (EC) No 2074/2005. OJ L 69, 8.3.2014,
pp. 95–98.
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Salmonella in other foodstuffs
Apart from the results in dried seeds, the proportion of Salmonella-positive samples in other foodstuffs
was very low during 2014 and has remained low since 2011 (Figure 4).
Out of the 195 tested units of imported dried seeds, 10.8% were positive for Salmonella, all as a
result of analyses carried out by two MS as part of border inspection activities
(Table 2014_SALMDRIEDSEED); Cyprus reported two positive samples of non-EU origin, while for
Greece the origin of 19 positive samples was reported to be unknown.
Of the 3,609 units of vegetables tested, 0.3% was Salmonella positive (Table 2014_SALMVEGET).
Several investigations included imported vegetables, generally specified as originating from other EU
countries or from non-EU states. Most units were tested at retail (87%) and at that sampling stage
only 10 positive samples were obtained by three MS: Austria found Salmonella in one single sample
originating from EU; Germany found four positive samples of domestic origin; and Italy reported five
positive samples from unspecified products of domestic origin.
In fruits, of the 1,267 tested units, none were positive for Salmonella, and the same applied to the
1,338 samples reported as ‘Fruit and vegetables’ (Table 2014_SALMFRUITVEG).
In sprouted seeds, overall 1.2% of the 420 units tested were positive and Salmonella was detected by
four MS (two at retail (Belgium and Germany) and two in investigations of this RTE foodstuff in
processing plants (Bulgaria and the Netherlands) (Table 2014_SALMSPRSEED)
Of 5,938 units of spices and herbs tested for Salmonella, four MS found nine positive (0.2%). Six
positive products reported by Germany and Slovakia originated from EU, and three were from
unknown origin and found as a result of analyses carried out by Greece as part of border inspection
activities (Table 2014_SALMHERBS). A major surveillance conducted by Poland accounted for 71% of
the units examined, none of them positive.
Lastly, 1,266 units of live bivalve molluscs were reported to be tested during 2014. Only Greece found
Salmonella positive samples, 2 out of 766 units tested (0.3%), in a major surveillance programme
conducted in processing plants (Table 2014_SALMBIVMOLLUSC).
Animals
All MS, except Luxembourg, and three non-MS reported data on Salmonella in various animal
populations (Table 2014_SALMOVERVIEW).
EU MS have compulsory or voluntary Salmonella control or monitoring programmes in place for a
number of farm animal species. To protect human health against Salmonella infections transmissible
between animals and humans, EU Regulation (EC) No 2160/2003 obliges MS to set up national control
programmes in poultry and pigs for specific Salmonella serovars, which were deemed to be of
particular importance for public health at the time the regulation was drafted. The animal populations
which are currently targeted include breeding flocks, laying hens, broilers of chickens (G. gallus) and
breeding and fattening turkeys. The National Control Programmes are established in individual MS to
achieve EU reduction targets to decrease the Salmonella prevalence in those animal populations at the
primary production level. National control programmes have to be approved by the EC. The results of
the programmes have to be reported to the EC and EFSA in the framework of the annual EU zoonoses
monitoring.
Breeding flocks of Gallus gallus
The year 2014 was the eighth year in which MS were obliged to implement Salmonella control
programmes in breeding flocks of G. gallus in accordance with Regulation (EC) No 2160/2003 and
Regulation (EC) No 200/2010.25 The control programmes for breeding flocks aim to meet a reduction
target of 1% or less of positive flocks for the following serovars: S. Enteritidis, S. Typhimurium
(including monophasic S. Typhimurium), S. Infantis, S. Virchow and S. Hadar. The target was set for
all commercial-scale adult breeding flocks, during the production period, comprising at least 250 birds.
25
Commission Regulation (EC) No 200/2010 of 10 March 2010 implementing Regulation (EC) No 2160/2003 of the European
Parliament and of the Council as regards a Union target for the reduction of the prevalence of Salmonella serotypes in adult
breeding flocks of Gallus gallus. OJ L 61, 11.3.2010, pp. 1–9.
www.efsa.europa.eu/efsajournal
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However, MS with fewer than 100 breeding flocks would attain the target if only one adult breeding
flock remained positive.
In 2014, 25 MS and three non-MS reported data within the framework of the programme. This is
because Luxembourg and Malta do not have breeding flocks of G. gallus and Lithuania did not report
data. During 2014, Salmonella was found in 1.73% of breeding flocks in the EU during the production
period (Table 5), compared with 1.1% in 2013.
Table 5:
Salmonella in breeding flocks of Gallus gallus during the production period (all types of
breeding flocks, flock-based data) in countries running control programmes in accordance
with Regulation (EC) No 2160/2003, 2014
Tested Percent Five target S. Enteritidis S. Typhimurium S. Infantis S. Virchow S. Hadar Other than
positive serovars %
%
%
%
%
%
target %
Austria
133
0.75
0
0
0
0
0
0
0.75
Belgium
503
4.17
1.19
0.4
0.8
0
0
0
2.98
Bulgaria
87
0
0
0
0
0
0
0
0
Croatia
112
0.89
0.89
0
0.89
0
0
0
0
Cyprus
39
5.13
0
0
0
0
0
0
5.13
Czech Republic
647
0.62
0.31
0.31
0
0
0
0
0.31
Denmark
153
1.96
1.31
0
1.31
0
0
0
0.65
Estonia
18
0
0
0
0
0
0
0
0
Finland
164
0
0
0
0
0
0
0
0
France
2,004
0.55
0.55
0.25
0.25
0.05
0
0
0
Germany
768
1.56
0.65
0.13
0
0.52
0
0
0.91
Greece
234
6.41
1.71
0.85
0.43
0.43
0
0
5.56
Hungary
1,045
1.91
0.48
0.29
0
0.19
0
0
1.44
Ireland
161
0
0
0
0
0
0
0
0
Italy
1,129
1.15
0.27
0
0
0.27
0
0
0.89
Latvia
26
0
0
0
0
0
0
0
0
Netherlands
1,570
0.83
0.83
0.64
0.19
0
0
0
0
Poland
1,627
1.91
1.48
1.23
0.06
0.06
0.12
0
0.43
Portugal
530
0.19
0
0
0
0
0
0
0.19
Romania
358
5.59
0
0
0
0
0
0
7.26
Slovakia
159
0
0
0
0
0
0
0
0
Slovenia
141
1.42
0
0
0
0
0
0
1.42
Spain
1,716
4.31
0.52
0.12
0.12
0.06
0.12
0.12
3.79
Sweden
159
0.63
0
0
0
0
0
0
0.63
United Kingdom 1,464
0.96
0.34
0
0.34
0
0
0
0.61
Iceland
40
0
0
0
0
0
0
0
0
Norway
170
0
0
0
0
0
0
0
0
Switzerland
111
0
0
0
0
0
0
0
0
Total (MS)
14,947
1.73
0.6
0.31
0.16
0.09
0.03
0.01
1.18
Country
The prevalence of the five targeted Salmonella serovars was 0.60% in 2014 (Table 5). A total of
12 MS and three non-MS reported no positive flocks for the target serovars in 2014.
Romania updated during 2015 its historical Salmonella prevalence data for breeding flocks for the
years 2013 and 2012 (EFSA and ECDC, 2014, 2015a) and corrected the number of flocks tested that
was previously erroneously reported as the number of samples tested. Its prevalence of breeding
flocks positive for the five targeted Salmonella serovars was 0% instead of <0.1% for 2012, and
remained 0% for 2013; prevalence of Romanian breeding flocks positive for non-target Salmonella
serovars was 7.4% instead of 0.3% for 2012, and 6.7% instead of 0.3% for 2013. The substantial
reduction in the reported number of breeding flocks in Romania resulted in the overall prevalence of
the five targeted Salmonella serovars at the EU level being revised to 0.6% instead of 0.4% for 2012,
and 0.6% instead of 0.4% for 2013. The decreasing trend noted since 2007 in EU breeding flocks
remaining positive for the five target serovars seemed to discontinue from 2010 onwards and stabilise
at around 0.6% (Figure 5).
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4
EU flock prevalence
3.5
Breeding hen flocks
Laying hen flocks
3
Broiler flocks
2.5
Flocks of breeding turkeys
2
Flocks of fattening turkeys
1.5
1
0.5
0
2007
2008
2009
2010
2011
2012
2013
2014
Year
For 2013 and 2014 no data for Luxembourg and Malta as they have no fowl breeding flocks. Lithuania did not report data for 2014.
Figure 5: Prevalence of S. Enteritidis, S. Typhimurium, S. Infantis, S. Virchow and/or S. Hadarpositive breeding flocks of Gallus gallus during production in the EU, 2007–2014; and
prevalence of S. Enteritidis and/or S. Typhimurium-positive laying hen flocks, broiler
flocks, flocks of breeding and fattening turkeys, during the production period in the EU,
2008–2014
In total, 21 MS and three non-MS met the target of max 1% set for 2014. The MS that did not meet
the target were Belgium, Denmark, Greece and Poland with the highest flock prevalence of 1.71%
reported by Greece (Table 5, Figure 6 and Figure 7). The number of flocks positive for target serovars
is similar to last year in Poland. Denmark had two flocks positive for the target serovars, whereas
Belgium had six. The most commonly reported target serovar in breeding flocks of Gallus gallus in
2014 was S. Enteritidis (0.31%), reported by nine MS (Belgium, Czech Republic, France, Germany,
Greece, Hungary, Netherlands, Poland and Spain). It was followed by S. Typhimurium including the
monophasic variants (0.16%) reported also by nine MS (Belgium, Croatia, Denmark, France, Greece,
the Netherlands, Poland, Spain and the United Kingdom); S. Infantis (0.09%) reported by seven MS
(France, Germany, Greece, Hungary, Italy, Poland and Spain), S. Virchow (0.03%) reported by Poland
and Spain and S. Hadar (0.01%) reported by Spain.
MS are ordered by prevalence of S. Enteritidis, S. Typhimurium, S. Infantis, S. Virchow and/or S. Hadar-positive fowl breeding
flocks. No data for Luxembourg and Malta as they have no fowl breeding flocks. Lithuania did not report data for 2014. Twentyone MS and three non-MS met the target in 2014, indicated with a '+'.
Figure 6: Prevalence of S. Enteritidis, S. Typhimurium, S. Infantis, S. Virchow and/or S. Hadarpositive breeding flocks of Gallus gallus during the production period and target for MS,
Iceland, Norway and Switzerland, 2014
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Figure 7: Prevalence of the five target serovars (S. Enteritidis, S. Typhimurium, S. Infantis,
S. Virchow and/or S. Hadar)-positive breeding flocks of Gallus gallus during the
production period, 2014
Laying hen flocks
The EU target for laying hens is defined in Regulation (EC) No 517/2011 26 as an annual minimum
percentage of reduction in the number of adult laying hen flocks (i.e. in the production period)
remaining positive for S. Enteritidis and/or S. Typhimurium by the end of the previous year. The
annual targets are proportionate, depending on the prevalence in the preceding year, but the ultimate
EU target is defined as a maximum percentage of adult flocks remaining positive at 2%. Any reporting
of monophasic S. Typhimurium is included within the S. Typhimurium total and as such is counted as
a target serovar. However, MS with fewer than 50 flocks of adult laying hens would attain the target if
only one adult flock remained positive.
In 2014, the seventh year in which MS were obliged to implement Salmonella control programmes, all
MS implemented control programmes approved by the EC. In total, 26 MS (all MS except Lithuania
and Luxembourg) and three non-MS reported data within the framework of the commercial scale
laying hen flock programme for 2014.
Six MS and two non-MS reported no flocks positive for S. Enteritidis or S. Typhimurium (Table 6).
Romania updated during 2015 its historical Salmonella prevalence data for adult laying hen flocks
positive for S. Enteritidis and/or S. Typhimurium for the years 2013 and 2012 (EFSA and ECDC, 2014,
2015a) and corrected the number of flocks tested that was previously erroneously reported as the
number of samples tested. The prevalence of laying flocks positive for the target Salmonella serovars
was revised to 1.4% instead of 1.2% for 2012, and 1.4% instead of 0.8% for 2013; prevalence of
Romanian laying flocks positive for non-target Salmonella serovars was 14.1% instead of 2.4% for
2012, and 14.9% instead of 2.4% for 2013. The substantial reduction in the reported number of
laying flocks in Romania led to the reported EU level prevalence of adult laying hen flocks positive for
26
Commission Regulation (EU) No 517/2011 of 25 May 2011 implementing Regulation (EC) No 2160/2003 of the European
Parliament and of the Council as regards a Union target for the reduction of the prevalence of certain Salmonella serotypes in
laying hens of Gallus gallus and amending Regulation (EC) No 2160/2003 and Commission Regulation (EU) No 200/2010. OJ L
138, 26.5.2011, pp. 45–51.
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S. Enteritidis and/or S. Typhimurium to remain 1.3% in 2012, and was 0.8% instead of 1.0% for
2013. Taking into account these new data, the EU level prevalence of laying flocks positive for the
target Salmonella serovars decreased further to 0.9% in 2014, following the decreasing trend
observed since 2008 (Figure 6). The EU level prevalence of adult laying hen flocks positive for
Salmonella spp. was 2.54% (Table 6), compared with 2.8% in 2013.
Overall, 23 MS and three non-MS met their 2014 reduction targets (Figure 8 and Figure 9). The MS
that did not meet the target were Belgium, Malta and Portugal. Latvia reported flock prevalence for
target serovars of above 2% but had fewer than 50 flocks of adult laying hens and only one adult
flock remaining positive, thus attaining the target.
The most common of the target serovars in laying hen flocks was S. Enteritidis (0.7% compared with
0.2% S. Typhimurium including the monophasic variants).
Table 6:
Salmonella in laying hen flocks of Gallus gallus during the production period (flock-based
data) in countries running control programmes, 2014
Country
Tested
Percent positive
Austria
Belgium
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hungary
Ireland
Italy
Latvia
Malta
Netherlands
Poland
Portugal
Romania
Slovakia
Slovenia
Spain
Sweden
United Kingdom
Iceland
Norway
Switzerland
Total (MS)
2,759
644
679
301
115
441
347
32
715
4,928
5,256
401
966
190
3,059
36
85
3,041
2,362
440
551
270
179
2,374
646
3,940
41
775
927
34,757
1.52
4.35
0.88
1.33
16.52
1.36
0.58
3.13
0
1.16
1.39
9.48
5.49
0
3.73
13.89
45.88
1.09
2.84
5.45
8.35
0
2.23
7.67
0.31
0.94
0
0
0.11
2.54
www.efsa.europa.eu/efsajournal
S. Enteritidis, S. Typhimurium
%
0.4
2.02
0
1.33
0
1.36
0.58
0
0
1.16
0.59
2
1.97
0
1.01
2.78
2.35
1.09
1.91
2.05
1.27
0
1.12
1.18
0.15
0.08
0
0
0.11
0.9
47
S. Enteritidis
%
0.25
1.86
0
1
0
1.36
0.29
0
0
0.77
0.44
1.75
1.86
0
0.65
2.78
0
1.02
1.86
1.82
0.91
0
0
0.76
0
0.08
0
0
0.11
0.7
S. Typhimurium
%
0.14
0.16
0
0.33
0
0
0.29
0
0
0.39
0.15
0.25
0.1
0
0.36
0
2.35
0.07
0.04
0.23
0.36
0
1.12
0.42
0.15
0
0
0
0
0.2
Other than SET
%
1.23
2.33
0.88
0
16.52
0
0
3.13
0
0
0.8
7.48
3.52
0
4.35
11.11
43.53
0
0.93
3.41
7.08
0
4.47
6.49
0.15
0.86
0
0
0
1.81
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EU summary report on zoonoses, zoonotic agents and food-borne outbreaks 2014
MS are ordered by prevalence of S. Enteritidis and/or S. Typhimurium-positive laying hen flocks. No data were reported by
Lithuania and Luxembourg. Twenty-three MS and three non-MS have met the 2014 targets, indicated with a '+'.
Figure 8: Prevalence of S. Enteritidis and/or S. Typhimurium-positive laying hen flocks of Gallus
gallus during the production period and targets for Member States, Norway and
Switzerland, 2014
Figure 9: Prevalence of the two target serovars ( S. Enteritidis and/or S. Typhimurium)-positive
laying hen flocks of Gallus gallus during the production period, 2014
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Broiler flocks
The EU target for broiler flocks is defined in Regulation (EC) No 200/2012 27 as a maximum percentage
of broiler flocks remaining positive for the target serovars S. Enteritidis and/or S. Typhimurium
(including monophasic S. Typhimurium) of 1% or less.
In 2014, the sixth year in which MS were obliged to implement Salmonella control programmes, all MS
had control programmes approved by the EC. Twenty-five MS and three non-MS reported data on
broiler flocks before slaughter. In France the number of tested broiler flocks is not known because the
French IT system totals the number of broiler and fattening turkey flocks. In 2014, the EU level
prevalence of broiler flocks positive for Salmonella spp. was 3.4% (Table 7), compared with 3.7% in
2013.
The reported prevalence of S. Enteritidis and S. Typhimurium in the EU was 0.2%, almost the same as
in 2013 (0.18%) (Figure 5). Five MS and one non-MS reported no flocks positive for S. Enteritidis
and/or S. Typhimurium (Table 7).
Romania updated during 2015 its historical Salmonella prevalence data on broiler flocks positive for
S. Enteritidis and/or S. Typhimurium for the years 2013 and 2012 (EFSA and ECDC, 2014, 2015a) and
corrected the number of flocks tested that was previously erroneously reported. The prevalence of
broiler flocks positive for the target Salmonella serovars remained <0.1% for 2012, and was 0.4%
instead of 0.6% for 2013; prevalence of Romanian laying flocks positive for non-target Salmonella
serovars was revised to 10% instead of 5.9% for 2012, and 13.5% instead of 13.4% for 2013. These
corrected data did not affect the EU prevalence of Salmonella -positive broiler flocks or the prevalence
of target serovar positive broiler flocks.
In 2014, 21 MS and three non-MS met the target of 1% or less of broiler flocks positive for
S. Enteritidis and/or S. Typhimurium. The MS that did not achieve the reduction target were the Czech
Republic, Malta and Croatia (Figures 2014_SALMTARGETBROIBS and 2014_SALMMAPBROIBS).
The most common target serovar in broiler flocks was S. Enteritidis; 0.13% compared with 0.07%
S. Typhimurium including the monophasic variants.
Table 7:
Salmonella in broiler flocks of Gallus gallus before slaughter (flock-based data) in countries
running control programmes, 2014
Country
Tested Percent positive
Austria
Belgium
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
Germany
Greece
Hungary
Ireland
Italy
Latvia
Malta
Netherlands
Poland
Portugal
Romania
Slovakia
Slovenia
Spain
3,868
8,946
492
3,100
1,184
4,676
3,470
513
3,467
21,934
7,504
8,180
39
26,431
594
475
15,739
35,662
11,773
9,435
2,140
2,226
37,442
27
2.9
1.98
0.61
1.23
3.63
4.53
0.75
0
0
1.95
0.25
13.48
2.56
7.59
0
13.05
7.84
0.27
0.48
9.66
0.28
0.27
3.63
S. Enteritidis, S. Typhimurium
%
0.44
0.29
0.2
1.23
0.08
2.95
0.4
0
0
0.14
0
0.48
0
0.01
0
1.26
0.24
0.15
0.08
0.19
0.28
0.09
0.12
S. Enteritidis S. Typhimurium
%
0.41
0.08
0
0.87
0
2.91
0.03
0
0
0.01
0
0.24
0
< 0.01
0
0.21
0.1
0.15
0.08
0.18
0.28
0.04
<0.01
%
0.03
0.21
0.2
0.35
0.08
0.04
0.37
0
0
0.12
0
0.23
0
< 0.01
0
1.05
0.14
< 0.01
< 0.01
0.01
0
0.04
0.11
Other than SET
%
2.48
1.69
0.41
0
3.55
1.58
0.35
0
0
1.81
0.25
13.01
2.56
8.02
0
11.79
7.61
0.11
0.4
9.46
0
6.33
3.52
Commission Regulation (EC) No 200/2012 of 8 March 2012 concerning a Union target for the reduction of Salmonella
Enteritidis and Salmonella Typhimurium in flocks of broilers, as provided for in Regulation (EC) No 2160/2003 of the European
Parliament and of the Council. OJ L 71, 9.3.2012, pp. 31–36.
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S. Enteritidis S. Typhimurium Other than SET
%
%
%
%
Sweden
3,276
0.06
0.06
0
0.06
0
United Kingdom 37,860
1.41
0.03
0
0.03
1.38
Iceland
658
2.58
0
0
0
2.58
Norway
5,265
0.08
0.02
0
0.02
0.06
Switzerland
614
0.65
0.65
0.65
0
0
Total (MSs)
250,426
3.37
0.2
0.13
0.07
3.27
French 2014 data for broiler flocks are not included, as the number of tested broiler flocks is not known, because at this point in
time the French IT system totals the number of broiler and of fattening turkey flocks.
Country
Tested Percent positive
S. Enteritidis, S. Typhimurium
Breeding and fattening turkeys
Year 2014 was the fifth year in which MS were obliged to implement Salmonella control programmes
in turkey flocks. In 2012, a final annual Salmonella reduction target for turkey flocks came into force.
This target was an extension of the transitional target implemented in the period of 2010–2012. The
EU definitive target for turkey flocks is defined in Regulation (EU) No 1190/2012 28 as a maximum
percentage of breeding and fattening turkey flocks remaining positive for the target serovars
S. Enteritidis and/or S. Typhimurium (including monophasic S. Typhimurium) of 1% or less. Positive
flocks have to be counted and reported once only (flock level prevalence), irrespective of the number
of sampling and testing operations. For MS with fewer than 100 flocks of adult breeding or fattening
turkeys, the EU target is that no more than one flock of adult breeding or fattening turkeys may
remain positive. All results are presented at flock level.
For breeding turkeys, 15 MS and two non-MS reported data from Salmonella testing in adult turkey
flocks in 2014 (Table 8). Data show that 91% of the 1,818 turkey breeding flocks at the EU level were
reported by France, Germany, Hungary, Italy, Poland and the United Kingdom, whereas smaller
numbers of flocks were reported by the other countries. The overall EU prevalence of Salmonella was
3.3% (Table 8), a decrease from 4.9% in 2013.
Overall, the EU level prevalence for the target serovars was 0.2%, continuing the decrease since 2012
(Figure 5). Only two MS (France and Croatia) reported flocks positive for the target serovars.
All 15 reporting MS and two non-MS met the target prevalence of S. Enteritidis and/or S. Typhimurium
set for adult turkey breeding flocks in 2014. Croatia met the target even though the proportion of
positive flocks was higher than 1%, as they reported only one positive flock out of four that were
tested (Figures 2014_SALMTARGETBREEDTURK and 2014_SALMMAPBREEDTURK).
The most common of the target serovars in breeding turkey flocks was S. Typhimurium including the
monophasic strains (0.17% compared with 0.06% S. Enteritidis). France reported to have isolated
S. Enteritidis that is rare in turkeys and especially in breeders.
Table 8:
Country
Bulgaria
Croatia
Czech Republic
Finland
France
Germany
Greece
Hungary
Ireland
Italy
Poland
Slovakia
Spain
Sweden
28
Salmonella in breeding flocks of turkeys (adults, flock-based data) in countries running
control programmes, 2014
Tested
Percent positive
45
4
7
7
729
84
1
179
5
277
142
35
64
4
0
25
28.57
0
0.41
1.19
0
10.06
0
6.5
0
0
9.38
0
S. Enteritidis, S. Typhimurium
%
0
25
0
0
0.41
0
0
0
0
0
0
0
0
0
S. Enteritidis S. Typhimurium Other than SET
%
0
0
0
0
0.14
0
0
0
0
0
0
0
0
0
%
0
25
0
0
0.27
0
0
0
0
0
0
0
0
0
%
0
0
28.57
0
0
1.19
0
10.06
0
7.58
0
0
9.38
0
Commission Regulation (EU) No 1190/2012 of 12 December 2012 concerning a Union target for the reduction of Salmonella
Enteritidis and Salmonella Typhimurium in flocks of turkeys, as provided for in Regulation (EC) No 2160/2003 of the European
Parliament and of the Council. OJ L 340, 13.12.2012, pp. 29–34.
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Country
United Kingdom
Iceland
Norway
Total (MS)
Tested
Percent positive
235
3
12
1,818
S. Enteritidis, S. Typhimurium
%
0
0
0
0.22
4.68
0
0
3.3
S. Enteritidis S. Typhimurium Other than SET
%
0
0
0
0.06
%
0
0
0
0.17
%
4.68
0
0
3.25
For fattening turkeys, in total, 22 MS and three non-MS provided data from commercial scale flocks
before slaughter. In 2014, the EU level prevalence of turkey fattening flocks positive for Salmonella
spp. was 9.32% (Table 9), which is a decrease compared with 2013, when a prevalence of 11.1%
was reported.
The overall prevalence at the EU level for the target serovars was 0.2% (Table 9), about the same as
in 2013 (0.18%) (Figure 5). Fourteen MS and three non-MS reported no flock positive for S. Enteritidis
and/or S. Typhimurium.
Romania updated during 2015 its historical Salmonella prevalence data for broiler flocks positive for
S. Enteritidis and/or S. Typhimurium for the years 2013 and 2012 (EFSA and ECDC, 2014, 2015a) and
corrected the number of flocks tested that was previously erroneously reported. The prevalence of
fattening turkey flocks positive to the target Salmonella serovars remained 0% for 2012 and as well
for 2013; prevalence of Romanian fattening turkey flocks positive to non-target Salmonella serovars
remained 0% for 2012, and was 2.7% instead of 2.6% for 2013. These corrective data did not
noticeably impact on the EU prevalence of Salmonella-positive fattening turkey flocks or on the
prevalence of target serovar positive fattening turkey flocks.
Twenty-one reporting MS and three non-MS met the reduction target set for fattening turkeys,
whereas Belgium did not meet the target (Figures 2014_SALMTARGETFATTURKBS and
2014_SALMMAPFATTURKBS).
The most common of the target serovars in fattening turkey flocks was S. Typhimurium including the
monophasic strains (0.15% compared with 0.05% S. Enteritidis).
Table 9:
Salmonella in fattening flocks of turkeys before slaughter (flock-based data) in countries
running control programmes, 2014
S. Enteritidis
S. Typhimurium Other than SET
%
%
%
%
Austria
365
3.29
0
0
0
3.84
Belgium
82
7.32
2.44
0
2.44
4.88
Bulgaria
37
0
0
0
0
0
Croatia
334
0.9
0.9
0.6
0.3
0
Cyprus
9
44.44
0
0
0
44.44
Czech Republic
301
5.65
0
0
0
5.65
Denmark
10
0
0
0
0
0
Finland
324
0
0
0
0
0
Germany
3,637
0.38
0
0
0
0.38
Greece
56
0
0
0
0
0
Hungary
3,209
24.18
0.16
0.03
0.12
24.03
Ireland
8
0
0
0
0
0
Italy
5,031
19.14
0.12
0
0.12
20.23
Netherlands
252
0.4
0
0
0
0.4
Poland
5,838
1.54
0.29
0.17
0.12
1.25
Portugal
887
0.11
0.11
0
0.11
0
Romania
260
0
0
0
0
0
Slovakia
18
0
0
0
0
0
Slovenia
137
1.46
0
0
0
2.92
Spain
3,150
17.52
0.25
0
0.25
17.27
Sweden
164
0
0
0
0
0
United Kingdom 3,359
3.6
0.36
0
0.36
3.25
Iceland
31
0
0
0
0
0
Norway
208
0
0
0
0
0
Switzerland
42
2.38
0
0
0
2.38
Total (MSs)
27,468
9.33
0.2
0.05
0.15
9.37
French 2014 data for fattening turkey flocks are not included, as the number of tested fattening turkey flocks is not known,
because at this point in time the French IT system totals the number of broiler and of fattening turkey flocks.
Country
Tested Percent positive
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S. Enteritidis, S. Typhimurium
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Ducks and geese
In 2014, the overall EU prevalence in flocks of ducks and geese was 15.0% for Salmonella spp. and
3.4% for S. Enteritidis and S. Typhimurium (Table 2014_SALMDUCKGEESE ). Owing to differences in
types of flocks sampled (breeding or meat production flocks), sampling strategy and sample type and
size, prevalence is not comparable across MS.
Pigs
The overall proportion of Salmonella-positive samples from the bacteriological monitoring of pigs was
7.9%, which is slightly lower than in 2013 (8.1%). At the herd level, the Salmonella prevalence was
10.1%; it was lower at the individual animal level (7.7%) (Table 2014_SALMPIGSBACT).
Investigations were reported from breeding and fattening pigs, and from different sampling stages: at
the farm, slaughterhouse or unspecified sampling stage. Sample types reported were faeces, lymph
nodes, organ or tissue samples, carcase swabs and environmental samples, therefore comparisons
between MS and between years should be made with caution.
Cattle
The overall proportion of Salmonella-positive samples from the bacteriological monitoring of cattle was
3.9%, compared to 2.4% for 2013. The Salmonella prevalence was similar at the herd/flock and
animal level was 2.6% and 4.0%, respectively (Table 2014_SALMCATBACT).
Investigations were reported from breeding animals, dairy cows or calves, or were unspecified, and
were from farms or slaughterhouses or unspecified. Tested sample types were faeces, lymph nodes,
organ or tissue samples or carcase swabs, or sample types were unspecified.
Other animal species
Salmonella was also investigated in other animal species and detected in cats, dogs, sheep, goats,
domestic solipeds, wild boar, mink, badgers, deer, wolves, foxes, quails, pheasants, pigeons, parrots,
reptiles, snakes, hedgehogs, badgers, minks and other wild and zoo animals.
Feedingstuffs
Data on Salmonella in feedingstuffs collected by MS are generated from various targeted surveillance
programmes as well as from unbiased reporting of random sampling of domestic and imported
feedingstuffs. The presentation of single sample and batch-based data from the different monitoring
systems has therefore been summarised and includes both domestic and imported feedingstuffs. In
2014, 20 MS and one non-MS reported data from 18,827 units tested for Salmonella. The Netherlands
reported 36.2% of the units tested and Norway reported 22.9%.
The overall level of Salmonella contamination in animal- and vegetable-derived feed material in 2014,
was low, with 3.8% of positive units out of 4,041 units reported by 19 MS
(Table 2014_SALMDERIVEDFEED), compared to 1.4% in 2013. However, data from 2013 were heavily
influenced by the reports of the United Kingdom as they reported 50% of the units (10,000 samples)
with very low proportions of positive samples. The United Kingdom did not report any data in 2014. As
in 2013, the majority of the data in 2014 was from feed mills. High levels of positive samples were
observed at all sampling stages except for farm level. However, it is important to bear in mind that a
large proportion of the investigations contained less than 10 samples. The highest proportion of
positive samples in individual investigations was reported for the feed category ‘Feed material of oil
seed or fruit origin’, mainly soya (bean)-derived and sunflower seed-derived feed. Salmonella
contamination was also detected in ‘Feed material of marine animal origin (fish meal)’ and ‘Feed
material of land animal origin (meat meal)’, as well as in feed of cereal origin. In meat and bone meal,
Salmonella contamination is to be considered only an indicator, and it does not pose any risk to foodproducing animals because meat and bone meal is still prohibited in the EU for feeding the main foodproducing animal species, although it is used in pet foods and may be used in aquaculture.
In compound feedingstuffs (the finished feed for animals), the proportion of Salmonella-positive
findings in 2014 was low to very low for all animal populations: 0.7% of 1,654 tested samples for
cattle, 1.9% of 1,077 tested samples for pigs and 0.8% of 7,741 tested samples for poultry (Tables
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2014_SALMCOMPFEEDCATTLE, 2014_SALMCOMPFEEDPIGS and 2014_SALMCOMPFEEDPOULTRY).
The proportion of positive samples ranged among the reporting MS from 0% to about 10%, with only
a few exceptions. For poultry, the result for all MS was lower compared to 2013, where 1.9% of units
tested were positive (total of 2,551 units). This is the effect of an intensive testing program carried
out by the Netherlands (5,662 samples with very few positive findings). It should be highlighted that
the reported proportions of positive samples might not always be representative of feedingstuffs on
the national markets, as some reports might reflect intensive sampling of high-risk products, and
representative sampling of feedingstuff is difficult.
Serovars in food and animals
In the following paragraphs, data relating to Salmonella serovars from animal species, food of animal
origin and animal feedingstuffs, isolated in 2014, are descriptively analysed. These analyses are
underpinned by Salmonella serovar frequency distribution tables of the most commonly isolated
serovars, specific to every matrix (category). These data are compared, where the quality of data
allows, with data from the previous 4 years 2010-2013.
Data were collated into the following 13 matrices (Table 2014_SERALLMATRIX): chickens (G. gallus),
broiler flocks, broiler meat, turkeys, turkey meat, pigs, pig meat, cattle, bovine meat and compound
feed for chickens, turkeys, pigs and cattle. Salmonella spp. were isolated from all matrices except
compound feed for turkeys. In each category, only the 10 most common serovars from 2014 are
listed, and all other isolates are referred to under ‘other serovars’. This means that data on low
prevalence MS are not covered. In this context it should be noted that some MS do not fully serotype
all isolates, which means that some isolates from the ‘top 10’ serovars may be included under ‘other
serovars’ in those MS. MS are obliged to report the five regulated serovars ( S. Enteritidis,
S. Typhimurium, S. Hadar, S. Virchow and S. Infantis) for breeding chickens, while for other poultry
production sectors, only S. Enteritidis and S. Typhimurium are regulated serovars. Therefore, some
MS only report S. Enteritidis and S. Typhimurium for categories other than breeding chickens,
including broiler chickens, laying hens and broiler meat. This results in a possible bias towards the
regulated serovars (S. Enteritidis and S. Typhimurium) for some MS. It also implies that the true
occurrence of serovars other than the regulated ones is uncertain.
A total of 13,463 Salmonella isolates were reported from all MS across all matrices in 2014. The most
common serovar was S. Typhimurium (3,010 isolates), followed by S. Infantis (2,834 isolates),
S. Enteritidis (1,397 isolates) and S. Dublin (1,021 isolates). S. Typhimurium was isolated from
12 matrices (all except compound feed for turkeys), while S. Enteritidis was isolated from nine
matrices and S. Infantis was isolated from eight matrices. S. Dublin, although accounting for the
fourth highest number of isolates, was isolated from two matrices only (cattle and bovine meat)
(Table 2014_SERALLMATRIX).
The number of isolates reported in the different categories varied greatly between MS and between
categories. These differences in reporting between MS and differences in the total number of isolates
make it difficult to directly compare these results.
The highest number of isolates was reported from G. gallus (5,377 isolates), with 26 MS reporting
Salmonella spp., whereas the lowest number of isolates was from cattle feed (n=2; two reporting MS)
and no isolates were reported from compound feed for turkeys. From pigs and cattle, respectively
2,037 and 3,243 isolates were reported, originating from ten and eight MS. However, more than 50%
of pig and bovine isolates were reported from Germany, leading to a substantial bias towards one MS.
Nineteen MS reported Salmonella from broiler meat, with a total of 1,626 isolates, and 17 MS reported
Salmonella from pig meat, with a total of 533 isolates. Isolates from compound feed were reported in
very low numbers from a small number of MS only, which is most likely due to the fact that there are
no EU-wide statutory requirements for testing of animal feed. Animal feed is also a difficult matrix to
representatively sample, and the likelihood of detection is therefore significantly lower compared to
other matrices, such as faecal material. Figure 10, a so-called Sankey diagram, illustrates the overall
distribution of the reported Salmonella serovars across different food, animal and meat sectors in the
EU in 2014. The diagram was produced using the open source data visualisation website
http://app.raw.densitydesign.org/#%2F.
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The left-hand of the diagram shows across different animals and meat thereof testing positive for Salmonella; broiler flocks,
broiler meat, turkeys, turkey meat, pigs, pig meat, cattle and bovine meat. The sample categories shown are broilers
(brown/yellow), cattle (blue), pigs (red) and turkeys (green) as well as meat from these species. The list at the right-hand of
the diagram shows the reported Salmonella serovar results (including ‘other serovars’). The wider the coloured band joining
each side, the larger the number of samples with the linked isolated Salmonella serovar.
Figure 10: Sankey diagram of reported Salmonella serovar isolates, in animal species, food of animal
origin and animal feedingstuffs, by matrix, EU, 2014
Serovars in poultry production
In 2014, 7,539 isolates from poultry production (chickens, turkeys, broiler meat and turkey meat)
were reported from a total of 26 MS.
The most commonly reported serovar from poultry production was S. Infantis (2,752 isolates),
followed by S. Enteritidis (1,215 isolates) and S. Mbandaka (651 isolates). S. Livingstone and
S. Typhimurium accounted for 360 and 302 isolates, respectively.
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Gallus gallus (breeding hens, layers and broilers)
The distribution of the most commonly isolated serovars from chickens in 2014 is shown in
Table 2014_SERGAL. In 2014, 26 MS (all MS except Lithuania and Luxembourg) reported the isolation
of Salmonella spp. from G. gallus. Of all categories described in this chapter, this was the category
with the highest number of countries reporting Salmonella isolates. This is due to the fact that
Salmonella control in G. gallus is a statutory requirement for all EU MS. A total of 5,377 isolates were
reported in 2014, which is a decrease of 5.0% compared to 2013, when 5,660 isolates were recorded.
Compared to 2010, when 8,968 isolates were reported, the decrease was 40.0%.
The number of isolates varied greatly between MS. Romania reported the highest number of isolates
in 2014 (1,735), followed by Italy (1,582) and the United Kingdom (565 isolates). These three MS
together reported 72.2% of all isolates.
850 isolates, or 15.9% of all isolates, were either S. Enteritidis or S. Typhimurium, which are
regulated serovars for all production types. However, as monophasic strains of S. Typhimurium were
not among the top 10 serovars in G. gallus in 2014, the number of isolates belonging to regulated
serovars is likely to be slightly higher than that. Compared to 2010, when 1,964 out of 8,968 isolates
(21.9%) were regulated serovars, this is a substantial reduction in the proportion of regulated
serovars and also a reduction by 56.7% in terms of absolute numbers.
A retrospective analysis of Salmonella data published by EFSA, covering the period from 2007 to 2009,
came to the conclusion that laying hens were the most important reservoir for human salmonellosis in
Europe during that time period, with 42.4% of cases attributed to the consumption of eggs, 95.9% of
which were caused by S. Enteritidis. 31.1% of cases were attributable to pigs, while broilers and
turkeys were considered less important sources (causing 12.6% and 3.8% of cases respectively) (De
Knegt et al., 2015).
The most commonly reported serovar in G. gallus was S. Infantis, accounting for 2,057 or 38.3% of
isolates, followed by S. Mbandaka (651 isolates; 12.1%) and S. Enteritidis (641 isolates; 11.9%).
S. Livingstone and S. Typhimurium were reported from 360 (6.7%) and 209 isolates (4.8%)
respectively. While the number of S. Enteritidis and S. Typhimurium reports has steadily declined over
the past 5 years, the number of reported S. Infantis isolates has increased and is now more than the
double reported in 2010 (see Figure 2014_SERTRENDGAL).
S. Infantis was reported from 17 MS, but clustered mainly in Central, Eastern and Southern Europe,
with 1,018 isolates reported from Romania, 757 from Italy, 123 from Slovenia, 60 from Austria,
41 from the Czech Republic and 21 from Cyprus, while it was only reported in much lower numbers
from other MS. An apparent dip in the number of S. Infantis isolates reported in 2011 is an artefact
due to Italy not reporting any S. Infantis isolates in that year and Romania only reporting two isolates,
while both countries reported considerably more isolates in other years.
S. Infantis is one of the five regulated serovars in the breeding chicken control programme and has
been among the top 10 serovars isolated from human salmonellosis cases for at least the past 3
years. In 2014, S. Infantis was the fourth most commonly isolated serovar from humans, accounting
for 1,846 confirmed cases of human salmonellosis (2.4%). Between 2011 and 2013, human S. Infantis
cases increased from 1,760 (2.2% of all cases) to 2,226 (3% of all cases) in 2013. The year 2014 saw
a slight reduction in the number of human S. Infantis cases. While the majority of S. Infantis isolates
are fully susceptible to antimicrobials, a proportion of S. Infantis isolates showing resistance to seven
or eight antimicrobial classes, including fluoroquinolones and third-generation cephalosporins, have
been reported in 2013 (EFSA and ECDC, 2015b), and carbapenem-resistant isolates have been found
in broiler production in Germany (EFSA BIOHAZ Panel, 2013d). Multi-drug resistant S. Infantis
isolates, which have been described from broiler meat and faecal samples from several European
countries, are not only of concern because of their multidrug resistant properties, but also because of
their ability to persist in poultry houses and the environment (Nógrády et al., 2012).
While S. Infantis was the most common serovar found in G. gallus (38.3% of isolates) and broiler
flocks (44.1% of isolates), it represented only 4.9% of isolates from laying hens with a downward
trend compared to 2013 (8.3% of isolates).
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S. Mbandaka, which is considered to be a mainly feed-related serovar with limited virulence, was
reported in large numbers from Italy and the United Kingdom, but was only reported from nine MS in
total.
S. Enteritidis was reported from 20 MS, with a total of 641 isolates. The Czech Republic (146), Poland
(118) and the Netherlands (56) reported the highest absolute numbers, and S. Enteritidis was also the
predominant serovar from G. gallus in these three MS. In the Czech Republic, 63.2% of isolates from
G. gallus were reported as S. Enteritidis, in Poland 92.9% and in the Netherlands, it was 67.5%.
Compared to 2010, when 1,507 S. Enteritidis isolates were reported from all MS, this represents a
57.5% reduction in the total number of S. Enteritidis isolates across the EU, despite the fact that the
number of MS has increased since 2010. This reduction was seen across many MS, indicating that the
Salmonella control programmes have been successfully implemented across Europe. The reduction in
S. Enteritidis isolates from chickens during this period, as observed across Europe, was in line with the
reduction of human salmonellosis cases caused by this serovar (36,064 cases in 2011 versus 33,965
cases in 2014; a reduction of 5.8%) and supports the conclusion drawn by De Knegt et al. (2015) that
the majority of human S. Enteritidis infections are attributable to the laying hen reservoir.
However, 2014 saw a higher number of human S. Enteritidis infections compared to 2013 (33,965 in
2014 versus 29,090 in 2013, an increase of 16.8%, see Table 3), and the reasons for that increase
are likely to be multi-factorial and different for the individual MS. That increase in human cases was
mainly attributed to an increase in cases in two MS – in the Czech Republic, cases increased by 70.5%
(3,438 cases), and in Spain the increase was 20.7% (1,008 cases). The increase in the Czech Republic
may be explained by an increase in the number of Salmonella outbreaks in 2014, whereas in Spain,
coverage of the surveillance system was improved for Salmonella in 2014.
When analysing the most recent serovar data from laying hens, a reduction in S. Enteritidis isolates is
not so clear for data from G. gallus. Between 2013 and 2014, the total number of Salmonella isolates
from laying hens went down from 758 to 598, which is a reduction of 21.1%. At the same time, the
number of S. Enteritidis isolates reduced from 282 to 257, which is a reduction of only 8.9%.
Therefore, the proportion of Salmonella isolates from laying hens being typed as S. Enteritidis has
actually increased from 37.2% to 43%, and this serovar is recognised as being the only one of major
significance in terms of contamination of eggs, because of its special ability to invade, survive and
multiply within intact eggs (EFSA BIOHAZ Panel, 2014).
It is difficult to draw conclusions from these figures, as in the MS where a substantial increase in
human S. Enteritidis cases was observed in 2014 (the Czech Republic), the number of S. Enteritidis
isolates from laying hens was lower compared to 2013 (reduction from seven to six isolates in the
Czech Republic). Noticeable increases in the number of S. Enteritidis isolates from laying flocks were
observed in France (19 versus 40 isolates) and in the Netherlands (19 versus 31 isolates) and in
France the number of S. Enteritidis cases in humans increased in 2014 with 22.8% whereas decreased
with 17.1% in the Netherlands as compared to 2013 (ECDC TESSy data 2014). It should be noted that
some of the major egg-producing MS export a significant proportion of table eggs to other MS, which
can make it difficult to link Salmonella isolates from laying hens and from human patients within one
MS, except in the case of defined outbreaks (Inns et al., 2015).
S. Typhimurium was reported from 22 MS, and the total number of reports has been fairly stable since
2012. However, compared to 2010, when 420 isolates were reported, only half as many isolates were
reported in 2014. Numbers reported varied between one and 39 isolates per country. Monophasic
variants of S. Typhimurium were not among the top 10 serovars from chickens in 2014 and are
therefore not reported here. Interestingly, the proportion of Salmonella isolates from G. gallus being
typed as S. Typhimurium was 3.9%, while it was 10.4% from laying hens. S. Typhimurium therefore
seems to be overrepresented in laying hen flocks compared to broiler and breeder flocks.
Other serovars which occurred mainly in few countries were S. Livingstone (302 isolates from Italy,
22 from Belgium and 15 from Romania), S. Senftenberg (Romania 73, the United Kingdom 26, Austria
15) and S. Montevideo (the United Kingdom 44, Austria 23). These serovars are usually either feed
related or are known to be hatchery contaminants. They play a minor role in human salmonellosis,
although there have been outbreaks of S. Montevideo in several countries and it is one of the ‘top 20’
serovars in humans, representing around 0.5% of human salmonellosis cases. S. Montevideo has also
seen an upward trend in laying hens in 2014 compared to 2013 and accounted for 4% of isolates from
laying hens in 2014, while it was not among the top 10 serovars in 2013.
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S. Kentucky isolates were reported from a small number of MS only (Romania, 146; Italy, 47; Czech
Republic, 11; Cyprus and Spain, 7 each; Austria, 1), but are of particular public health concern
because of the multidrug resistance pattern of some strains and, in particular, high levels of resistance
to fluoroquinolones. In 2013, 67.3% of human S. Kentucky isolates across the EU were multidrug
resistant (EFSA and ECDC, 2015b). It is not clear whether the number of S. Kentucky isolates reported
here represents the true picture, as some isolates may not have been fully serotyped in some MS and
may therefore not be identified at serovar level in all cases.
While a trend of S. Kentucky cases from broiler meat, turkeys and turkey meat cannot be clearly
identified, or is difficult to interpret due to low numbers, the proportion of S. Kentucky isolates from
G. gallus has steadily increased since 2010, and S. Kentucky isolates represented 4.1% of all
Salmonella isolates in 2014. In laying hens, S. Kentucky represented 8.9% of isolates with an upward
trend compared to 2013 (7.4%). In contrast, S. Kentucky was not one of the 10 major serovars found
in turkeys in 2014, but represented 4.9% of turkey meat isolates; however, as the total number of
isolates from turkey meat is much lower than the number of isolates from chickens or turkeys, it is not
clear how representative this figure may be.
Figure 11 shows S. Kentucky as a proportion of all isolates from G. gallus. Although relative
percentages are significantly lower compared to S. Infantis, clustering can be seen in Southern,
Central and Eastern European MS.
Note: number of units with serotyped Salmonella isolates; Austria (160), Belgium (233), Cyprus (63), Czech Republic (231),
Italy (1,582), Romania (1,735) and Spain (109).
Figure 11: Distribution of S. Kentucky reported from Gallus gallus, 2014.
S. Kedougou (94 isolates) and S. 13,23:i:- (80 isolates) were reported in significant numbers from the
United Kingdom only, where they accounted for 14.6 and 14.2% of all isolates of the United Kingdom
respectively and where they have also been found in animal feed and feed mills, as well as hatcheries
and broiler parent and production meat flocks. Molecular analysis of some strains indicated that
S. 13,23:i:- strains are likely to be monophasic variants of S. Kedougou and, to a lesser extent,
S. Idikan.
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Table 2014_SERBRO shows the distribution of the ten most common Salmonella serovars in broiler
flocks in 2014. The majority of Salmonella isolates from G. gallus originated from broiler chickens
(4,568 of the 5,377 isolates). While the distribution of most of the top 10 serovars was fairly similar in
G. gallus and in broiler flocks, S. Enteritidis represented 11.9% of G. gallus isolates, but only 7.3% of
broiler isolates, indicating that S. Enteritidis was more prevalent in laying hen flocks than in broiler
flocks. S. Infantis, on the other hand, represented 38.3% of G. gallus isolates, but 44.0% of broiler
isolates and was therefore more prevalent in broiler chickens than in laying hens or breeding chickens.
Figure 12 shows S. Infantis as a proportion of all isolates from G. gallus. As described previously, the
proportion of S. Infantis isolates is highest in some MS in Central and Eastern Europe, with Slovenia
and Romania reporting the highest relative percentages.
Number of units with serotyped Salmonella isolates; Austria (160), Belgium (233), Bulgaria (8), Cyprus (63), Czech Republic
(231), Denmark (33), France (81), Germany (67), Greece (72), Hungary (63), Latvia (9), Poland (127), Iceland (14), Italy
(1,582), Norway (4), Romania (1,735), Slovenia (155), Spain (109) and the United Kingdom (563).
Figure 12: Distribution of S. Infantis reported from Gallus gallus, 2014.
The trends in commonly reported Salmonella serovars from G. gallus between 2010 and 2014 are
displayed in Figure 13. The number of isolates belonging to the regulated serovars S. Enteritidis and
S. Typhimurium has more than halved between 2010 and 2014, indicating that the introduction of the
National Control Programmes, which started between 2007 and 2009 for the different production
sectors, has had a beneficial impact on the reduction of regulated serovars. However, the continual
increase in S. Infantis isolates over recent years is a matter of concern.
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Figure 13: Salmonella trends from Gallus gallus between 2010 and 2014.
Broiler meat
Table 2014_SERBROMEAT shows the distribution of the 10 most common Salmonella serovars in
broiler meat. In 2014, 19 MS reported a total of 1,626 Salmonella isolates from broiler meat. This was
an increase of 22.3% from 2013, when 1,329 isolates were reported, but less than in 2010, when
2,189 isolates were reported.
Poland (478 isolates), the Czech Republic (312 isolates) and Hungary (207 isolates) together
accounted for 61.3% of all reported isolates.
S. Infantis was the most common serovar, accounting for 582 isolates (35.8%). This is in line with
serovar reports from G. gallus, where S. Infantis also represents the most commonly reported serovar.
Figure 14 shows S. Infantis as a proportion of all isolates from broiler meat, and again, clustering in
Central and Eastern European MS can be seen, with Austria, Hungary, Bulgaria and Romania all
reporting around 90% of broiler meat isolates as S. Infantis.
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Number of units with serotyped Salmonella isolates; Austria (41), Belgium (53), Bulgaria (55), Czech Republic (312), Denmark
(5), Estonia (2), Germany (20), Hungary (207), Iceland (1), Netherlands (39), Romania (96), Slovakia (124), Spain (125) and
Switzerland (4).
Figure 14: Distribution of S. Infantis reported from broiler meat, 2014
The number of S. Infantis reports fluctuates over the years, from 1,294 isolates in 2010 to 217 in
2012 and 582 in 2014, and it is not clear whether or not these figures may be biased by differences in
surveillance activities, by the proportion of fully serotyped isolates in individual MS and/or by
differences in the reporting of non-regulated serovars. For example, in 2012, Hungary did not report
S. Infantis from broiler meat. This led to a significant reduction in the overall number of isolates in the
EU in that particular year.
Of the three MS reporting the highest numbers of S. Infantis isolates from broiler meat (Hungary 191;
Czech Republic 93; Romania 86), only Romania and the Czech Republic also reported significant
numbers of S. Infantis from chickens.
In contrast, Italy, reporting the highest number of S. Infantis isolates from chickens (757), did not
report any Salmonella from broiler meat at all.
The steady increase in the number of isolates of S. Enteritidis from broiler meat over the past 5 years
(from 106 in 2010 to 551 in 2014), in spite of harmonised control programmes and apparent progress
at broiler flock level, has resulted in S. Enteritidis becoming the second most commonly reported
serovar from broiler meat in 2014 (33.9%). However, it should be noted that the majority of
S. Enteritidis isolates (412; 74.8%) originated from Poland and another 70 (12.7%) originated from
the Czech Republic, meaning that the number of isolates reported from all other MS together was only
69.
A total of 50 S. Typhimurium isolates were reported from broiler meat in nine MS, with Poland (19
isolates), Spain (12 isolates) and France (10 isolates) reporting the majority of these; Poland was the
only MS that also reported monophasic strains of S. Typhimurium (47).
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Some other serovars were reported in mainly one or two countries only, such as S. Indiana in the
Czech Republic, S. Virchow in the Czech Republic and in Spain, S. Paratyphi B (variant Java) in
Belgium, S. Kentucky in Spain and S. Ohio in the Czech Republic.
Reporting of these non-regulated serovars seems to be inconsistent over the years, with some
countries reporting in one year but not in others. This may be due to changes in serotyping priorities,
changes in reporting serovars other than the regulated ones or the fact that only the 10 most
common serovars are reported by name each year by EFSA. In some cases, individual MS may run
intensive monitoring programmes in one year, leading to a higher number of isolates, but may not do
so in the following year.
The trends in commonly reported Salmonella serovars from broiler meat between 2010 and 2014 are
displayed in Figure 15.
Figure 15: Salmonella trends in broiler meat between 2010 and 2014
Turkeys
Table 2014_SERTURK shows the distribution of the 10 most common Salmonella serovars in turkeys
in 2014. Twelve MS provided information on Salmonella serovars from turkeys, with a total of
374 isolates being reported.
For the first time in 2014, S. Infantis was the most common serovar, with 83 isolates, or 22.2% of all
turkey isolates. However, it should be noted that 82 of the 83 S. Infantis isolates were reported from
one MS (Italy) only. S. Infantis reports have increased over the past 5 years, but differences in
serotyping priorities and differences in reporting between MS might result in an underestimation of
S. Infantis presence in some countries.
S. Infantis was also reported in high numbers from G. gallus in Italy, and a link and/or common
source of the infection in chickens and turkeys in Italy is a possibility (Dionisi et al., 2011).
In general, serovars reported at high numbers from turkeys seem to cluster in usually one country
only, such as S. Hadar, the second most commonly reported serovar in 2014, which was only found in
Italy (53 isolates). Other examples include S. Derby, S. Kedougou and S. Kottbus (all United
Kingdom), S. Newport (Italy, United Kingdom and Czech Republic) and S. Senftenberg (United
Kingdom and Austria).
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S. Newport, which is regularly reported in small numbers from different MS, is a diverse group of
strains, some of which are of concern with regard to their antimicrobial resistance pattern. It is not
known whether any of the S. Newport strains found in Europe belong to the multidrug resistant clones
circulating in the USA and Canada (Varma et al., 2006).
The regulated serovars were found to be more widespread across different MS although at lower
numbers, with 24 isolates of S. Typhimurium from six MS, 15 isolates of monophasic S. Typhimurium
from three MS and 14 isolates of S. Enteritidis from four MS.
S. Saintpaul, which was reported in high numbers from Italy in previous years and which made up a
significant proportion of all Salmonella isolates previously (30.9% in 2013; 21.1% in 2012) was not
reported by Italy in 2014.
The trends in commonly reported Salmonella serovars in turkeys between 2010 and 2014 are
displayed in Figure 16. The number of S. Typhimurium isolates reported from turkeys has fallen
significantly since 2010, when the National Control Programmes were introduced across the EU, with
97 and 105 isolates recorded in 2010 and 2011 respectively, compared to 24 isolates in 2014.
Figure 16: Salmonella trends in turkeys between 2010 and 2014
Turkey meat
Table 2014_SERTURKMEAT shows the distribution of the 10 most common Salmonella serovars in
turkey meat in 2014. Eleven MS reported Salmonella isolates from turkey meat in 2014, and a total of
162 isolates were reported. Hungary (48 isolates), Italy (45 isolates) and the Czech Republic
(28 isolates) accounted together for 74.7% of all isolates. The low number of isolates and the low
number of reporting countries make it difficult to assess the true incidence of Salmonella found in
turkey meat across the EU. The most common serovars were S. Stanley and S. Infantis with
30 isolates each, followed by S. Typhimurium with 19 isolates.
Interestingly, S. Stanley was not among the top 10 serovars isolated from turkey flocks in 2014,
raising the question of whether it may have been undetected or reported under ‘other serovars’ in
some MS. The occurence of S. Stanley isolates found in the turkey production chain in previous years
(since 2011) led to high numbers of human cases in the affected countries. It is not clear to what
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extent S. Stanley is still present in turkey flocks in those MS and if present, why it may remain largely
undetected (ECDC and EFSA, 2014).
Serovars in pig production
Pigs
Table 2014_SERPIGS shows the distribution of the 10 most common serovars in pigs in 2014. Reports
on Salmonella serovars in pigs tend to be less comprehensive compared to poultry, as there are no
statutory requirements to regularly test pigs in primary production for the presence of Salmonella.
Serological monitoring of pigs, which gives no serovar information, is widely used for surveillance.
Therefore, only 10 MS submitted reports on Salmonella in pigs for 2014, which was less than in
previous years (16 in 2013, 16 in 2012, 16 in 2011, 10 in 2010). Revised carcase swab testing
according to new process hygiene criteria (PHC) requirements was introduced in 2014, but there has
been no requirement to serotype the isolates obtained. This situation is likely to change in future as
representative isolates from approved National Control Programmes, which may include PHC testing,
are now required to be tested for antimicrobial resistance and serotyped, which should result in
greater availability of harmonised Salmonella serotype data from pig populations in future years.29
Since 2012, more than half of the reported isolates each year have originated from Germany, which
leads to a substantial bias towards one MS. For the above mentioned reasons, it is difficult to analyse
trends of serovars over time.
In total, 2,037 Salmonella isolates were reported in 2014, of which 54.7% were S. Typhimurium.
S. Typhimurium has been the predominant serotype over the past 5 years, accounting for as much as
72.8% of isolates in 2012. S. Typhimurium was found in 9 out of the 10 reporting MS in 2014, and
was also common in the baseline surveys of slaughter pigs and breeding pigs in 2006/7 and 2009
respectively, so it can therefore be assumed that it is widely present across the EU (EFSA, 2008,
2009c).
S. Derby was the second most common serovar, accounting for 357 isolates (17.5% of isolates), and
was found in 7 out of the 10 reporting MS.
The proportion of isolates belonging to the group of monophasic strains of S. Typhimurium has not
changed substantially over the past 5 years and ranged between 8.4% of isolates in 2014 and 14% in
2013. In Poland, Malta, the United Kingdom and Italy, monophasic strains of S. Typhimurium
(S. 1,4,5,12:i:- and S. 1,4,12:i:-) accounted for a large proportion of pig isolates.
S. Choleraesuis, which had been reported mainly from Estonia and Romania in previous years, did not
make it into the top 10 serovars in 2014. However, it has to be noted that no reports of Salmonella in
pigs were received from Romania in 2014.
S. Rissen, which is one of the main serovars in pork production and human cases in some parts of the
world, has only been seen at low numbers in the EU for at least the past 5 years, and the number of
reports seems to be fairly stable (31 reports in 2014). The proportion of the Far Eastern strains of
epidemic multi-drug resistant S. Rissen isolates present in European pigs is not known, but these
appear to occur in some countries (Antunes et al., 2011).
Pig meat
Table 2014_SERPIGMEAT shows the distribution of the 10 most common serovars in pig meat in
2014. Seventeen MS submitted reports on Salmonella from pig meat, but the overall number of
reports is significantly lower compared to the number of isolates obtained from pigs. This may be due
to the fact that it is not compulsory to serotype isolates that are obtained from carcase swabs taken to
fulfil the requirements of the EU Process Hygiene and Microbiological Criteria testing programmes
(Gradassi et al., 2015).
A total of 533 Salmonella isolates were reported from 17 MS, and the number of isolates per country
ranged between 2 and 92. Denmark reported the highest number of isolates (92), followed by
29
Commission Implementation Decision 2013/652/EU of 12 November 2013 on the monitoring and reporting of antimicrobial
resistance in zoonotic and commensal bacteria. OJ L 303, 14.11.2003, pp. 26–39.
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Belgium (62), Romania (59) and Germany (57). Across the EU, S. Typhimurium was the most
commonly reported serovar (27.8%), followed by S. Derby (24.4%) and monophasic strains of
S. Typhimurium (18%).
Although S. Typhimurium was the most commonly isolated serovar from both pigs and pig meat, the
proportion of S. Typhimurium in pigs was significantly higher (54.7%) compared to pig meat (27.8%).
This might be due to the fact that Germany, which isolated the highest number of S. Typhimurium
from pigs (851 isolates out of 1025 S. Typhimurium isolates across the EU), only submitted a relatively
small number of S. Typhimurium isolates from pig meat (29). The United Kingdom, which submitted
the second highest number of S. Typhimurium isolates from pigs (84) did not submit data on
Salmonella from pig meat.
There is no clear trend regarding the reports of Salmonella serovars from pig meat over the past 5
years. While the overall number of reports in 2010 was much higher than in the subsequent years, the
proportion of the individual serovars does not change much over the years.
Serovars in cattle production
Cattle
Table 2014_SERBOV shows the distribution of the ten most common serovars in cattle in 2014. Eight
MS submitted Salmonella data from cattle, and even though the number of submitting MS was
relatively low compared to other animal species, data on a total of 3,243 isolates were submitted.
The vast majority of those isolates came from Germany (1,866), which therefore reported 57.5% of
all cattle isolates. The United Kingdom reported 554 isolates, followed by the Netherlands
(508 isolates) and Ireland (264 isolates).
The most common serovar was S. Typhimurium (1,516 isolates; 46.8%), which was the predominant
serovar isolated in Germany and the Netherlands. Ireland and the United Kingdom, however, reported
S. Typhimurium in much lower proportions (11% and 5.2% respectively). These two MS isolated
mainly S. Dublin (87.1% and 71.3% of isolates respectively), which was the second most common
serovar across the EU, with a total of 1,016 isolates reported (31.3% of isolates). The third most
common serovar, S. Enteritidis, accounted for 4.6% of isolates only. However, it is worth mentioning
that 145 S. Enteritidis reports (98% of all S. Enteritidis isolates) were from Germany.
The trends of Salmonella serovars from cattle over the past 5 years are difficult to interpret, as the
total number of submitted reports varies greatly between years and ranges from 1,150 in 2011 to
4,859 in 2013. The reasons for the fluctuations are not known, but some of the variation might be
explained by the fact that the data submitting system used by MS and EFSA was not the same for
each year. Also, some MS may have done surveys during one year which were not continued in the
following years. Some MS did not submit any cattle data in certain years, which may have an impact
on the overall number of serovars as well as the proportions of serovars reported.
Bovine meat
Table 2014_SERBOVMEAT shows the distribution of the 10 most common serovars in bovine meat in
2014. Although 11 MS submitted data relating to Salmonella from bovine meat, the total number of
isolates was only 73, of which 28 were reported from the Czech Republic and 15 were reported from
Spain. These low numbers make it difficult to assess the data in depth and compare them to previous
years. S. Typhimurium and S. Derby have been the most prevalent serovars found in bovine meat
over the past 5 years, but S. Enteritidis has been more prevalent in 2013 and 2014 compared to
previous years. In 2014, 24.7% of isolates from bovine meat were S. Derby, 20.6% were
S. Typhimurium and 17.8% were S. Enteritidis.
Salmonella in compound feed for animals
In the absence of microbiological criteria for Salmonella in animal feed, testing of feedstuffs for the
presence of Salmonella is not routinely reported across at the EU. Sampling and testing of feed is also
not harmonised across MS, which makes it difficult to assess the distribution of feed contamination.
This, together with the fact that feed is a difficult matrix to effectively sample for Salmonella means
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that only a very small number of isolates from feed are reported each year, and feed contamination is
likely to be substantially underestimated (Jones and Richardson, 2004).
Compound feed for Gallus gallus
Eight MS provided data on Salmonella in compound feed for chickens, with a total of 29 isolates
reported. Ten of those isolates were S. Enteritidis, seven were S. Senftenberg, five were
S. Livingstone, two were S. Typhimurium and one isolate each was reported from other serovars. The
low number of reported isolates makes it impossible to further interpret these data, but the
occurrence of regulated serovars in feed is a cause for concern in terms of the importance of feed as
a primary source of infection for food animals, particularly poultry (Li et al., 2012). Table
2014_SERGALFEED shows the distribution of the 10 most common serovars in compound feed for
chickens in 2014.
Compound feed for turkeys
No reports on Salmonella from compound feed for turkeys were received between 2010 and 2014.
Compound feed for pigs
Seven Salmonella isolates from compound feed for pigs were reported in 2014, with reports from
Belgium, Bulgaria, Hungary and Spain. Reported serovars include S. Give, S. Mbandaka, S. Agona,
S. Anatum, S. Typhimurium and S. Cerro. Table 2014_SERPIGSFEED shows the distribution of the 10
most common serovars in compound feed for pigs in 2014.
Compound feed for cattle
Only two Salmonella isolates from compound feed for cattle were reported in 2014 – one
S. Typhimurium from Spain and one S. Paratyphi B from Bulgaria. Table 2014_SERBOVFEED shows
the distribution of the 10 most common serovars in compound feed for cattle in 2014.
3.1.3.
Discussion
From 2008 to 2014, there has been a statistically significant decreasing trend in salmonellosis cases in
the EU/EEA. Food-borne outbreaks of salmonellosis reported in 2014 continued to decrease.
Nonetheless, salmonellosis remains the second most common zoonosis in humans in the EU with
88,715 confirmed cases and 1,050 food-borne outbreaks reported in 2014. The increase in the EU
notification rate was partly attributable to the inclusion of Croatia in notification rate calculations for
the first time in 2014 and particularly to the exclusion of Italy due to incomplete reporting. The EU
reported case fatality due to non-typhoidal salmonellosis remained stable in 2014.
The salmonellosis notification rates for human infections vary between MS, reflecting differences in,
for example, disease prevalence in the production animal population, food and animal trade between
MS, the proportion of travel-associated cases and the quality and coverage of the surveillance
systems. One example is that countries reporting the lowest notification rate for salmonellosis had the
highest proportions of hospitalisation, suggesting that the surveillance systems in these countries are
focusing on the most severe cases.
The reporting of human S. Enteritidis cases increased, whereas S. Typhimurium and its variants
decreased in 2014. Together, these two serovars accounted for 70% of human cases with a known
serovar making them the most common serovars as in previous years. The increase in S. Enteritidis
was mainly attributed to one MS, the Czech Republic, and was at least partly explained by the
increase number of outbreaks. The increase in several other serovars was also driven by outbreaks in
EU. The largest increase in all serovars was observed for S. Chester which caused an outbreak linked
to travel to Morocco in several MS in autumn 2014. The increase of cases in serovar S. Muenchen was
attributed to an outbreak in Germany, comprising more than half (53%) of all cases of this serovar
reported in 2014.
An outbreak of S. Stanley, which started in 2011 and peaked in 2012, affected several MS and was
linked to the turkey production chain. The number of outbreaks declined in 2013 and 2014. Still,
S. Stanley outbreaks with a molecular pattern indistinguishable from the 2011–2012 outbreak strain
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were still identified by some MS in 2014, indicating that the outbreak strain was still circulating in the
European food market and at the primary production level (ECDC and EFSA, 2014). The number of
outbreak strain cases increased in 2015 in Austria and five other MS also reported the same strain
(ECDC, 2015). This highlights the long-lasting public health impact that substantial contamination by
any Salmonella serovar at the farm level can have in the EU.
As in previous years, Salmonella was most frequently detected in poultry meat, less often in pig or
bovine meat, and rarely in table eggs, products of vegetable origin and RTE broiler meat and pig
meat. Still, because RTE food products are intended for consumption without, or in the case of eggs,
often with only marginal heat treatment, the fact that Salmonella was detected in these foodstuffs,
albeit rarely, helps to explain why Salmonella was the most frequent bacterial cause of food-borne
outbreaks in 2014. The most frequently identified food vehicle, associated with 44.0% of the reported
Salmonella strong-evidence outbreaks was ‘eggs and egg products’ as in previous years. The fact that
eggs and egg products were still the most important source of food-borne Salmonella outbreaks in
2014 might be explained by the fact that, as mentioned in the EFSA BIOHAZ Panel opinion (2014),
very large numbers of eggs are eaten and eggs are very important and complete foods not only for
their nutritional aspects, but also for their functional properties, i.e. the coagulant capacity of proteins,
the foaming capacity of albumen proteins, the emulsifying capacity of the yolk, etc. Moreover, these
properties are used in different ways to produce and enrich many types of foods (e.g. bakery products
including pastries, meat pies, sauces and dressings, sweets and pasta) and in several (homemade)
dishes (e.g. mayonnaise, custard and ice cream). In such products eggs are often used raw or only
lightly heat-treated. S. Enteritidis is considered the only pathogen currently posing a major risk of
egg-borne diseases in the EU. The use of eggs and egg products is very diverse and the risk derived
from egg-borne hazards such as S. Enteritidis is affected by the storage conditions of the eggs, such
as temperature and time; however, the pooling of eggs is also important in household, food service
and institutional settings. On the other hand, other foods such as broiler meat, that might also be a
source of S. Enteritidis, are normally consumed cooked, mitigating the risk of human infection.
Data clearly showed that results at the EU level are affected by surveillance programmes in place in
individual MS. The interpretation of the data and the results should take account of the variation in
number of units tested between years, as well as the weight each individual MS represents in the
estimated characteristics across all years, and the fact that it is not the same countries reporting in all
years. As regards fresh poultry meat, there has been an overall decrease in recent years in the
proportion of non-compliant samples or bacthes at EU-level as regards the Salmonella food safety
criterion for S. Enteritidis and S. Typhimurium (including monophasic S. Typhimurium strains with the
antigenic formula 1,4,[5],12:i:-). On the other hand, at the EU level, there seems to be no obvious
trend in the proportions of units (single samples or batches) of minced meat and meat preparations
from poultry to be cooked before consumption, or meat products from poultry intended to be eaten
cooked that are not compliant with the Salmonella food safety criterion. Also, in these product
categories the proportions of non-compliant units are much higher compare to other food categories.
So, while it may be argued that the setting of targets for specific Salmonella serovars in primary
production has an overall effect on the proportion of non-compliant units in fresh poultry meat at the
EU level, such positive trends are not apparent in data from the Salmonella food safety criterion later
on in the food chain when poultry meat is further processed. No clear EU trends were observed in
units (single samples or batches) of other food categories that do not comply with the EU Salmonella
food safety criteria. It should be mentioned that, although the proportion of positive samples generally
appears to be low, Salmonella in RTE products represent a definite hazard to consumers.
In 2014, the EU level prevalence of Salmonella target serovar-positive poultry flocks was very low
(< 1%), for breeding flocks of G. gallus, for laying hen flocks, broiler flocks, as well as for flocks of
breeding and of fattening turkeys. Since the implementation of National Control Programmes, the
declining trend in the EU prevalence of Salmonella target serovar-positive poultry flocks continued in
2014 for all groups of animals during their production period, except for breeding flocks of G. gallus
for which the prevalence for the five target serovars has remained around 0.6%, since 2010. Most MS
met the reduction targets set for poultry species.
The overall trends of reported Salmonella serovars in chickens indicate a significant ongoing reduction
in infection of flocks, and MS only reported around half as many isolates in 2014 as in 2010. The most
significant changes seen were the reduction in S. Enteritidis and S. Typhimurium, which are likely to
be the result of improved control measures following the introduction of the National Control
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Programmes. However, the steady increase in S. Infantis reports over the past few years is a matter
of concern. A similar situation can be seen in the turkey sector, where S. Enteritidis and
S. Typhimurium reports have been declining, but S. Infantis reports are increasing. In pigs, an overall
increase in the number of Salmonella reports can be seen over the past 4 years despite the lack of a
harmonised monitoring programme in primary production. This rise mainly involves S. Typhimurium,
including monophasic strains, which have also been prominent in human cases. Overall Salmonella
trends in cattle are difficult to interpret, as the reporting of data appears to be incomplete in some
years, but there is no indication that the prevalence of the predominant serovars S. Dublin and
S. Typhimurium is declining. The occurrence of regulated serovars in feed is a cause for concern in
terms of the importance of feed as a primary source of infection for food animals, particularly poultry,
and the lack of sensitivity of feed monitoring programmes in most MS.
3.2.
Campylobacter
The Appendix contains hyperlinks to all data summarised for the production of this section, for
humans, food, animals and food-borne outbreaks. It also includes hyperlinks to Campylobacter
summary tables and figures that were not included in this section because they did not trigger any
marked observation. The summarised data are presented in downloadable Excel and PDF files, and
listed by subject.
3.2.1.
Campylobacteriosis in humans
Campylobacter has been the most commonly reported gastrointestinal bacterial pathogen in humans
in the EU since 2005. In 2014, campylobacteriosis data were reported by 26 MS. The number of
reported confirmed cases of human campylobacteriosis in the EU in 2014 was 236,851 which was an
increase of 22,067 cases compared with 2013 (Table 10). The EU notification rate was 71.0 per
100,000 population in 2014, which was an increase by 9.6% compared with 2013 (64.8 per
100,000 population). Eleven countries (Austria, France, Hungary, Ireland, Italy, Latvia, Luxembourg,
Romania, Poland, Slovakia and Spain) reported improvements in their surveillance system and/or
diagnostics for campylobacteriosis; increasing the sensitivity and coverage of surveillance systems,
improving data quality, developing electronic/online reporting and more accurate testing of samples
e.g. by using PCR. An increase by 23.9% in the notification rate was seen among these 11 countries
compared with an average increase of 7.8% in the other MS between 2013 and 2014. This
represented 39.5% (8,723 cases) of the increased number of cases reported in 2014.
The highest country-specific notification rates were observed in the Czech Republic (197.4 cases per
100,000), Luxembourg (158.8), Slovakia (124.5) and the United Kingdom (103.9 cases per
100,000 population). The lowest rates were reported in Latvia, Romania, Poland and Bulgaria
(≤ 2.0 per 100,000) in 2014.
In several MS, campylobacteriosis was mainly a domestically acquired infection with ≥ 90% domestic
cases reported, for example in the Czech Republic, Estonia Germany, Hungary, Latvia, Malta, Poland
and Slovakia. The highest proportions of travel-associated cases were reported in Finland and Sweden
(≥ 50% of cases).
Table 10: Reported human cases of campylobacteriosis and notification rates per 100,000 in the
EU/EEA, by country and year, 2010–2014
Country
Austria
Belgium(b)
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
2014
2013
2012
2011
National
Data
Total
Confirmed
Confirmed
Confirmed
Confirmed
coverage(a) format(a) cases cases & rates cases &rates cases & rates cases & rates
Cases Rate Cases Rate Cases Rate Cases
Rate
Y
C
6,514
6,514 76.6 5,731 67.8 4,710 56.0 5,129
61.0
N
C
8,098
8,098
–
8,148
–
6,607
–
7,716
–
Y
A
144
144
2.0
124
1.7
97
1.3
73
1.0
Y
A
1,647
1,647 38.8
–
–
–
–
–
–
Y
C
40
40
4.7
56
6.5
68
7.9
62
7.4
Y
C
20,902 20,750 197.4 18,267 173.7 18,287 174.1 18,743 178.7
Y
C
3,773
3,773 67.0 3,772 67.3 3,720 66.7 4,060
73.0
Y
C
308
285
21.7
382
28.9
268
20.2
214
16.1
Y
C
4,889
4,889 89.7 4,066 74.9 4,251 78.7 4,267
79.4
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2010
Confirmed
cases &rates
Cases Rate
4,404 52.7
6,047
–
6
0.1
–
–
55
6.7
21,075 201.5
4,037 72.9
197 14.8
3,944 73.7
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2014
2013
2012
2011
2010
National
Data
Total
Confirmed
Confirmed
Confirmed
Confirmed
Confirmed
Country
coverage(a) format(a) cases cases & rates cases &rates cases & rates cases & rates cases &rates
Cases Rate Cases Rate Cases Rate Cases
Rate Cases Rate
France(c)
N
C
5,958
5,958 45.2 5,198 39.6 5,079 38.9 5,538
42.6
4,324 33.5
Germany
Y
C
70,972 70,530 87.3 63,271 77.3 62,504 76.5 70,812
86.8
65,108 79.6
Greece(d)
–
–
–
–
–
–
–
–
–
–
–
–
–
Hungary
Y
C
8,490
8,444 85.5 7,247 73.5 6,367 64.4 6,121
62.4
7,180 72.9
Ireland
Y
C
2,595
2,593 56.3 2,288 49.8 2,391 52.2 2,433
53.2
1,660 36.5
Italy(b)
N
C
1,252
1,252
–
1,178
–
774
–
468
–
457
–
Latvia
Y
C
38
37
1.8
9
0.4
8
0.4
7
0.3
1
0.0
Lithuania
Y
C
1,184
1,184 40.2 1,139 38.3
917
30.5 1,124
36.8
1,095 34.9
Luxembourg
Y
C
873
873
158.8 675
125.7
581
110.7 704
137.5
600 119.5
Malta
Y
C
288
288
67.7
246
58.4
220
52.7
220
53.0
204 49.3
Netherlands(e)
N
C
4,159
4,159 47.5 3,702 42.4 4,248 48.8 4,408
50.9
4,322 50.1
Poland
Y
C
652
650
1.7
552
1.4
431
1.1
354
0.9
367
1.0
Portugal(d)
–
–
–
–
–
–
–
–
–
–
–
–
–
Romania
Y
C
256
256
1.3
218
1.1
92
0.5
149
0.7
175
0.9
Slovakia
Y
C
6,867
6,744 124.5 5,845 108.0 5,704 105.5 4,565
84.7
4,476 83.0
Slovenia
Y
C
1,184
1,184 57.4 1,027 49.9
983
47.8
998
48.7
1,022 49.9
Spain(f)
N
C
11,481 11,481 82.3 7,064 50.4 5,548 47.4 5,469
46.9
6,340 54.6
Sweden
Y
C
8,288
8,288 85.9 8,114 84.9 7,901 83.3 8,214
87.2
8,001 85.7
United Kingdom
Y
C
66,790 66,790 103.9 66,465 104.0 72,560 114.3 72,150 114.5 70,298 112.5
EU Total
–
–
237,642 236,851 71.0 214,784 64.8 214,316 65.9 223,998
69.0 215,395 67.0
Iceland
Y
C
142
142
43.6
101
31.4
60
18.8
123
38.6
55
17.3
Norway
Y
C
3,386
3,386 66.3 3,291 65.2 2,933 58.8 3,005
61.1
2,682 55.2
Switzerland(g)
Y
C
7,565
7,565 92.9 7,481 93.1 8,432 106.0 7,963
101.2
6,611 84.9
(a): Y: yes; N: no; A: aggregated data; C: case-based data; –: no report.
(b): Sentinel surveillance; no information on estimated coverage thus notification rate cannot be estimated.
(c): Sentinel surveillance; notification rates calculated on estimated coverage of 20%.
(d): No surveillance system.
(e): Sentinel surveillance; notification rates calculated on estimated coverage of 52%.
(f): Sentinel surveillance; notification rates calculated on estimated coverage of 30% in 2013–2014 and 25% in 2009–2012.
(g): Switzerland provided data directly to EFSA. The human data for Switzerland also include the data from Liechtenstein.
There was a clear seasonal variation of confirmed campylobacteriosis cases reported in the EU/EEA in
2008–2014 with sharp peaks in the summer months. Small peaks were also observed in January from
2012 to 2014. Over the 7-year period from 2008 to 2014, there was a statistically significant
increasing (p < 0.05) trend in campylobacteriosis in the EU/EEA (Figure 17). Compared to the
previous year, there was an increase in the reported confirmed cases in 21 MS, Iceland and Norway in
2014. A statistically increasing (p < 0.01) trend was observed in 13 MS (Austria, Belgium, Estonia,
France, Hungary, Ireland, Italy, Lithuania, Luxembourg, Malta, Poland, Slovakia and Spain) in 2008–
2014.
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Source: Austria, Belgium, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland,
Italy, Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Norway, Poland, Slovakia, Slovenia, Spain, Sweden and the United
Kingdom. Bulgaria, Croatia and Romania did not report data to the level of detail required for the analysis. Greece and Portugal
do not have surveillance systems for this disease.
Figure 17: Trend in reported confirmed human cases of campylobacteriosis in the EU/EEA, by month
of reporting, 2008–2014
Sixteen MS provided information on hospitalisation for some or all of their cases, which was three MS
more than in 2013. As a result information on hospitalisation increased by 50%, but was still only
available for 25.4% of all confirmed campylobacteriosis cases in 2014. The reason for this is that
many MS have campylobacteriosis surveillance systems which are based on laboratory notifications
where information on hospitalisation is usually not available. Of cases with known hospitalisation
status, 30.4% were hospitalised. The highest hospitalisation rates (75.0–83.2% of cases) were
reported in Cyprus, Lithuania, Poland, Latvia and Romania. Three of these countries also reported low
notification rates for campylobacteriosis, which indicates that the surveillance systems in these
countries primarily capture the more severe cases.
A decrease from 56 deaths attributed to campylobacteriosis in 2013 to 25 deaths in 2014 resulted in
an EU case-fatality rate of 0.01%. This was the lowest rate observed over the last 5 years (average
2009–2013: 0.03%). Information of case-fatality was provided for 73.6% of all reported cases, which
was an increase of 39.1% compared with 2013.
Campylobacter species information was provided for 52.6% of confirmed cases reported in the EU,
Iceland and Norway, which was a 9.4% increase in reporting compared with 2013 (48.1%). Of these,
81.8% were reported to be C. jejuni, 7.13% C. coli, 0.13% C. lari, 0.09% C. fetus and 0.07%
C. upsaliensis. ‘Other’ Campylobacter species accounted for 10.6% but the large majority of those
cases were reported at the national level as ‘C. jejuni/C. coli /C. lari not differentiated’.
3.2.2.
Campylobacter in food and animals
Comparability of data
It is important to note that results from different countries are not directly comparable owing to
variations in the sampling and testing methods used. In addition, the proportion of positive samples
observed could have been influenced by the sampling season because, in most countries,
Campylobacter infections are known to be more prevalent in poultry during the summer than during
the winter (EFSA, 2010).
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Only results for the most important food products and animals that might serve as a source for human
infection in the EU are presented.
Food
In 2014, 26 MS and three non-MS reported data on Campylobacter in food.
The number of samples tested within each food category ranged from one to several hundreds. Most
of the MS reported data on food of animal origin, where the majority of tested units were from broiler
meat.
Broiler meat and products thereof
Monitoring activities and control programmes for Campylobacter in fresh broiler meat are based on
sampling at the slaughterhouse (caecum, neck skin, skin or meat samples), at processing or cutting
plants and/or at retail, where meat samples are usually collected. Unfortunately, the quality of the
data does not support trend analysis.
Broiler meat is considered to be the most important single source of human campylobacteriosis. In
2014, the overall occurrence of Campylobacter in fresh broiler meat, reported by 18 MS, sampled at
slaughter, processing and retail was 38.4% of the 6,703 tested units (single or batch, aggregated data
from all sampling stages) (Table 11). The proportion of positive samples reported in 2014 was
comparable to that in 2013, where 31.4% of samples were found to be positive (n=8,022, 18 MS).
The small increase is most likely a result of varying reporting from the MS. For example, in 2014
Cyprus reported an investigation with a very high proportion of positive samples, whereas for 2013
Belgium and Denmark submitted together more than 3,000 samples with a rather low proportion of
Campylobacter-positive samples (17.1%)
The proportion of Campylobacter-positive samples of broiler meat varied greatly between reporting
MS (Table 11). In 2014, Campylobacter was detected in 35.5% of single samples at retail; six of
eleven MS reporting at retail level found ≥ 50.0% positive samples. At slaughterhouse level, 44.4% of
the single samples tested positive for Campylobacter. Overall, only 9.9% of the tested single samples
were Campylobacter positive; however, this result was heavily dependent on some large Polish
investigations with few positive results (Table 11). Most MS report data at retail, but the largest
volume of data is at slaughterhouse level. Spain was the only MS reporting data at all levels
(slaughterhouse, processing plant and retail) and the proportion of Campylobacter-positive samples
decreased between these stages.
In general, only a small number of samples of RTE broiler products are tested for the presence of
Campylobacter. In 2014, four MS reported 196 single samples, of which 19.4% tested positive. No
batches out of 13 tested positive (Table 2014_CAMPBROILPROD). The majority of the positive single
samples originated from a Spanish investigation at processing. Of 17 investigations, only four
comprised more than 20 sample units.
Table 11: Campylobacter in fresh broiler meat, 2014
Sampling stage
Retail
Country
Matrix
Description
Austria
fresh
food sample,
Surveillance
Czech
Republic
fresh
Finland
fresh
Germany
fresh,
with skin
fresh,
chilled
Hungary
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food sample
food sample - meat,
Survey
food sample - meat,
Monitoring
food sample - meat,
Surveillance
70
Sample
origin
Austria
Sampling Sample Tested Positive Percent
unit
weight
positive
single 25 Gram 75
52
69.33
European
Union
Unknown
Czech
Republic
European
Union
Unknown
Finland
single
25 Gram
23
12
52.17
single
single
25 Gram
25 Gram
5
20
3
5
60
25
single
25 Gram
1
1
100
single
batch
25 Gram
25 Gram
4
51
0
14
0
27.45
Germany
single
25 Gram
424
229
54.01
single
25 Gram
240
54
22.5
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Sampling stage
Country
Matrix
Description
Ireland
fresh
food sample - meat,
Surveillance
Netherlands
Slovakia
fresh
fresh,
frozen
fresh,
chilled
fresh
fresh
food sample
food sample,
Surveillance
food sample,
Monitoring
food sample
food sample,
Surveillance
food sample,
Surveillance
Slovenia
Spain
Sweden
Iceland
Slaughter batch
Batch
Single
Total Retail
Processing plant
Slaughter batch
Batch
Single
Total Processing plant
Slaughterhouse
Slaughter batch
Batch
Single
Total Slaughterhouse
Unspecified
fresh,
frozen
Austria
fresh
Hungary
Poland
fresh,
chilled
fresh
Portugal
fresh
Spain
fresh
Austria
fresh
Belgium
Croatia
carcase
carcase
Cyprus
carcase
Denmark
Estonia
fresh,
chilled
carcase
Poland
carcase
Spain
United
Kingdom
carcase
carcase
Ireland
fresh
Sweden
fresh
fresh,
frozen
Ireland
Netherlands
European
Union
single
single
single
25 Gram
25 Gram
25 Gram
1
589
9
0
161
0
0
27.33
0
single
1 Gram
50
25
50
Unknown
single
single
25 Gram
25 Gram
76
1
16
0
21.05
0
European
Union
single
.
86
2
2.33
single
0
51
1,519
1,570
25 Gram 12
0
14
558
572
5
.
27.45
36.73
36.43
41.67
single
25 Gram
322
86
26.71
single
single
334
12
507
2
0
5
0.6
0
0.99
53
22
41.51
3
0
0
123
123
4
37.5
.
.
9.86
9.86
66.67
food sample,
Surveillance
food sample - meat,
Surveillance
food sample
food sample - meat
Austria
food sample - meat,
Surveillance
food sample
Portugal
single
25 Gram
25 Gram
500
Gram
25 Gram
Unknown
single
25 Gram
Austria
single
8
0
0
1,248
1,248
25 Gram
6
Croatia
single
single
1 Gram
25 Gram
545
924
119
636
21.83
68.83
Cyprus
single
.
327
195
59.63
Denmark
single
10 Gram
927
238
25.67
Estonia
batch
25 Gram
12
0
0
single
25 Gram
503
253
50.3
single 25 Gram
single 25 Gram
slaughter
.
batch
7
131
497
0
52
380
0
39.69
76.46
380
0
1,497
1,877
1
76.46
0
44.42
48.39
100
food sample,
Surveillance
Surveillance
food sample - neck
skin, Monitoring
animal sample caecum
food sample - meat,
Monitoring
food sample - neck
skin, Monitoring
food sample - carcase
swabs
food sample - meat
food sample
food sample - neck
skin, Survey
food sample - meat,
Surveillance
food sample,
Surveillance
food sample,
Surveillance
Slaughter batch
Batch
Single
Total Unspecified
Slaughter batch
Batch
Single
Total (MS)
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Sample Sampling Sample Tested Positive Percent
origin
unit
weight
positive
Germany
single 25 Gram
1
0
0
71
Unknown
Ireland
single
497
12
3,370
3,879
25 Gram
1
single
25 Gram
3
0
0
single
25 Gram
2
1
50
0
0
6
6
497
63
6,143
6,703
0
0
2
2
380
14
2,180
2,574
.
.
33.33
33.33
76.46
22.22
35.49
38.4
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Other foods
Many other foods of animal origin were also analysed for the presence of Campylobacter. Ten MS
reported data on fresh turkey meat (Table 2014_CAMPTURKMEAT) and 18.5% of the 829 tested units
(single and batch) were found to be Campylobacter-positive (varying by country from 0% to 33.3%).
The proportion of Campylobacter-positive samples (single or batch) of fresh pig or fresh bovine meat
was generally low; however, three MS (Austria, Spain, and Poland) reported high Campylobacter
prevalence in fresh pig meat at slaughterhouse or retail (36.8–50.0%).
Four MS (Belgium, Germany, Slovakia and Ireland) investigated a total of 119 sample units of ready to
eat pork products of which 114 samples were reported by Ireland. Three MS (Belgium, Germany and
Ireland) reported a total of 40 sample units of bovine products. None of the tested pig or bovine meat
products was positive (Tables 2014_CAMPBOVMEAT and 2014_CAMPPIGMEAT).
Campylobacter was detected in up to 16.7% of the tested units (single or batch) of raw cow’s milk
intended for direct human consumption or manufacture of raw or minimal heat-treated products. The
proportion of Campylobacter-positive units of milk from other animals or of unspecified origin was
very low (Table 2014_CAMPMILK).
Human Campylobacter cases rarely require hospitalisation, however one strong evidence outbreak
relating to a farm in Germany where raw milk was the vehicle caused 28 cases of illness, who were all
hospitalised.
Detailed information on the data reported and on the occurrence of Campylobacter in the different
food categories have been included in specific tables referenced in the Appendix.
Animals
Twenty MS and three non-MS reported data on Campylobacter in animals, primarily in broiler flocks,
but also in turkeys, pigs, cattle, goats, sheep, horses, cats, dogs and a range of wild animals.
Broilers
In 2014, Campylobacter was found in 30.7% of the 13,603 units tested in MS; 31.8% of the tested
broiler slaughter batches, 30.3% of the tested flocks (Table 2014_CAMPBROILERS). This prevalence
estimate is markedly higher than in 2013, when 19.9% of sample units were found to be positive, but
the reporting MS differed compared to 2013. Fourteen MS reported data in 2014 compared to 15 MS
in 2013, however only 10 MS reported during both years. Three of the four MS reporting only in 2014
contributed 1,322 samples and extremely high prevalence, which markedly impacted the overall
prevalence.
The largest investigations were carried out in the Nordic countries. Samples obtained in Denmark,
Finland and Sweden constituted 57.8% of the reported samples in the EU. Greece, Portugal and the
United Kingdom reported investigations with very high proportions of positive samples (from 76.5% to
91.7%).
Other animals
Four MS and one non-MS reported data on Campylobacter in turkeys in 2014
(Table 2014_CAMPTURKEYS). The proportion of positive samples, reported by MS, was high to
extremely high (45.4% to 92.6%).
Only three MS reported data for Campylobacter in pigs (animal and herd); one large Dutch
investigation accounted for 80.1% of sample units. No Campylobacter positives were detected in
3,216 samples in the Netherlands, while Germany reported 7.7% positives for animal samples
(n=675) and 23.1% positives for sampled herds (n=121). Four MS reported prevalence data for cattle
ranging from 0% to 16.5% (animal and herd samples) (Table 2014_CAMPCATTLE).
Eight MS and two non-MS reported data on Campylobacter in cats and dogs; 69.8% of the samples
were reported by Germany. Samples included both monitoring and clinical samples. The proportion of
Campylobacter-positive
samples
varied
greatly
between
MS
from
0
to
100%
(Table 2014_CAMPCATDOG). The overall prevalence in pet cats was 7.1% and it was 17.8% in pet
dogs. All investigations including more than 25 samples detected Campylobacter in one or more of the
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samples. Germany reported species information for the investigation of 779 cats; and the primary
species found were C. upsaliensis and C. jejuni. Species information for Campylobacter in dogs was
provided by Germany and the United Kingdom, reporting the majority of isolates as C. jejuni and
C. upsaliensis respectively.
A wide range of investigations of Campylobacter in other animals was reported by three MS
(Germany, the Netherlands and Italy). Italian surveys of 23 different animal groups accounted for
50.0% of 3,614 samples. No positive samples were reported from solipeds (domestic horses), and the
prevalence was low in sheep and goats.
Details on the data reported and on the occurrence of Campylobacter in the various animal species
have been included in tables referenced in the Appendix.
3.2.3.
Discussion
Campylobacteriosis has been the most commonly reported zoonosis in humans in the EU since 2005.
The EU notification rate increased by 10% in 2014, compared with the previous year, and a
statistically significant increasing trend was observed in the 7-year period 2008–2014. Most countries
reported increasing numbers of cases in 2014, compared to the previous year, with almost half of the
MS reporting statistically significant increasing trends. Part of the increase could be explained by
improvements in surveillance systems and improved diagnostics for campylobacteriosis in several MS
during recent years. Countries with reported improvements had a statistically significant increasing
trend over the 7-year period from 2008 to 2014. Lower increases also seen in other MS could suggest
a real increase in human campylobacteriosis cases rather than that the trend is purely a consequence
of improved ascertainment and/or reporting for which such data were reported. Campylobacteriosis
was predominantly a domestically-acquired infection and only two Nordic countries (Finland and
Sweden) reported a higher proportion of travel-associated cases.
The case-fatality rate of campylobacteriosis decreased in 2014 compared to the period 2009–2013.
The reason for this reduction is unknown. The proportion of hospitalised campylobacteriosis cases was
larger than expected in view of the relatively mild or moderate symptoms in the majority of cases. An
explanation for this could be that in some countries the surveillance is focused mainly on severe
cases. In addition, the country with the most campylobacteriosis cases only reported hospitalisation
status for a fraction of these cases, and the majority were hospitalised. This fraction most likely
represents cases ascertained through by hospital reporting systems, while for cases reported from
other sources, e.g. laboratories, information on hospitalisation status is often missing. Both these
situations result in an overestimation of the proportion of hospitalised cases.
Broiler meat is considered to be the main source of human campylobacteriosis. 35.1% of the samples
of fresh broiler meat (single or batch) at every sampling stage were found to be Campylobacterpositive, which was comparable to that in 2013. While the variation between MS was large however, it
should be noted that data are not comparable as some MS do not report an overall annual prevalence
because they collect more samples during the high-prevalence summer period. Furthermore, the
overall prevalence is not directly comparable between years, as not all MS report data every year and
the number of samples reported by each MS varies, influencing the estimate differently. Only few MS
reported Campylobacter data for other animals.
Campylobacter was detected in up to 16.7% of the tested units (single or batch) of raw cow’s milk
intended for direct human consumption or manufacture of raw or minorly heat-treated products.
The nature of the food and animal monitoring data collected does not allow generation of hypotheses
explaining the increase observed in the human notification rate.
As in previous years, broiler meat was the most commonly identified source of Campylobacter
outbreaks in the EU. Though, one outbreak, involving 28 people, caused by raw milk from a farm
resulted in hospitalisation of all patients which is very rare for human campylobacteriosis.
In 2014, an EU project (CamCon) that aimed to improve the control of Campylobacter in primary
poultry production in various parts of Europe and thereby enable the production of ‘low-risk broilers’
was finalised. The project ran under the seventh framework with a consortium consisting of partners
from six MS (Denmark, the Netherlands, Poland, Portugal, Spain and the United Kingdom) and one
non-MS (Norway) representing various parts of Europe. The project results showed that biosecurity
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initiatives helped reducing the Campylobacter prevalence in Nordic countries and as well in countries
in southern Europe. The project provided an E-learning programme (currently available in English and
Spanish) and a Best Practice Manual for poultry producers which are freely available online.30 Very
recently, the United Kingdom Food Standards Agency welcomed signs of progress with the reduction
of Campylobacter on fresh shop-bought chickens.31 The data showed 15% of chickens tested positive
for the highest level of contamination (more than 1,000 colony-forming units per gram (CFU/g)),
down from 22% in July to September 2014. In the United Kingdom, these most heavily contaminated
birds are the focus of the current target agreed by industry, which is equivalent to no more than 7%
of chickens at retail having the highest levels of contamination. Research has shown that reducing the
proportion of birds in this category will have the biggest positive impact on public health.
The prevalence of Campylobacter in pet cats and dogs varied between MS, from 0 to 100%. Animal
contact is considered to be a risk factor for human illness and pet animals could be a source of human
infection. However, speciation tests suggest that a large fraction of the cats and dogs positive for
Campylobacter are colonised by Campylobacter species that are not commonly associated with human
illness.
3.3.
Listeria
The Appendix contains hyperlinks to all data summarised for the production of this section, for
humans, food and animals. It also includes hyperlinks to Listeria summary tables and figures that
were not included in this section because they did not trigger any marked observations. The
summarised data are presented in downloadable Excel and PDF files, and are listed by subject.
3.3.1.
Listeriosis in humans
In 2014, 27 MS reported 2,161 confirmed human cases of listeriosis (Table 12). The EU notification
rate was 0.52 cases per 100,000 population which represents a 30 % increase compared with 2013
(0.40 cases per 100,000 population). The exclusion of one large country with a relatively low
notification rate in previous years (Italy, provisional data reported for 2014) from the notification rate
calculations explains 9.1% of the overall increase in the EU notification rate in 2014 (Table 12).
The highest notification rates were observed in Denmark, Sweden, Finland and Spain (1.64, 1.30, 1.19
and 1.15 cases per 100,000 population respectively). There were several small Listeria outbreaks and
one large outbreak with 41 cases reported in Denmark in 2014. Sweden had two larger outbreaks in
2013 and 2014 involving 50 and 27 cases respectively.
The vast majority (> 98%) of listeriosis cases were reported to be domestically acquired.
Table 12: Reported human cases of listeriosis and notification rates per 100,000 in the EU/EEA, by
country and year, 2010–2014
Country
Austria
Belgium
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hungary
Ireland
30
31
National
coverage(a)
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
2014
2013
2012
2011
2010
Data
Total
Confirmed
Confirmed
Confirmed
Confirmed
Confirmed
format(a) cases cases & rates cases & rates cases & rates cases & rates cases & rates
Cases Rate Cases Rate Cases Rate Cases Rate Cases Rate
C
49
49
0.58
36
0.43
36
0.43
26
0.31
34
0.41
C
84
84
0.75
66
0.59
83
0.75
70
–
40
0.37
A
10
10
0.14
3
0.04
10
0.14
4
0.05
4
0.05
A
5
4
0.09
0
0.00
0
0.00
–
–
–
–
C
0
0
0.00
1
0.12
1
0.12
2
0.24
1
0.12
C
38
38
0.36
36
0.34
32
0.31
35
0.33
26
0.25
C
92
92
1.64
51
0.91
50
0.90
49
0.88
62
1.12
C
1
1
0.08
2
0.15
3
0.23
3
0.23
5
0.38
C
65
65
1.19
61
1.12
61
1.13
43
0.80
71
1.33
C
374
374
0.57
369
0.56
348
0.53
282
0.43
312
0.48
C
609
597
0.74
463
0.57
414
0.51
331
0.41
377
0.46
C
10
10
0.09
10
0.09
11
0.10
10
0.09
10
0.09
C
39
39
0.40
24
0.24
13
0.13
11
0.11
20
0.20
C
15
15
0.33
8
0.17
11
0.24
7
0.15
10
0.22
Available online: http://www.camcon-eu.net
https://www.food.gov.uk/news-updates/news/2015/14701/campylobacter-survey
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Country
National
coverage(a)
2014
2013
2012
2011
2010
Data
Total
Confirmed
Confirmed
Confirmed
Confirmed
Confirmed
format(a) cases cases & rates cases & rates cases & rates cases & rates cases & rates
Cases Rate Cases Rate Cases Rate Cases Rate Cases Rate
–
52
52
–
128
0.21
112
0.19
129
0.22
157
0.27
C
3
3
0.15
5
0.25
6
0.29
7
0.34
7
0.33
C
7
7
0.24
6
0.20
8
0.27
6
0.20
5
0.16
C
5
5
0.91
2
0.37
2
0.38
2
0.39
0
0.00
C
1
1
0.24
1
0.24
1
0.24
2
0.48
1
0.24
C
90
90
0.54
72
0.43
73
0.44
87
0.52
72
0.43
C
86
86
0.23
58
0.15
54
0.14
62
0.16
59
0.16
–
–
–
–
–
–
–
–
–
–
–
–
C
5
5
0.03
9
0.05
11
0.06
1
0.01
6
0.03
C
29
29
0.54
16
0.30
11
0.20
31
0.58
5
0.09
C
18
18
0.87
16
0.78
7
0.34
5
0.24
11
0.54
C
161
161
1.15
140
1.00
109
0.93
91
0.78
129
1.11
C
125
125
1.30
93
0.97
72
0.76
56
0.60
63
0.67
C
201
201
0.31
192
0.30
183
0.29
164
0.26
176
0.28
Italy(b)
–
Latvia
Y
Lithuania
Y
Luxembourg
Y
Malta
Y
Netherlands
Y
Poland
Y
Portugal(c )
–
Romania
Y
Slovakia
Y
Slovenia
Y
Spain(d)
N
Sweden
Y
United
Y
Kingdom
EU Total
–
–
2,174 2,161 0.52 1,868 0.40 1,722 0.38 1,516 0.34 1,663 0.37
Iceland
Y
C
4
4
1.23
1
0.31
4
1.25
2
0.63
1
0.32
Norway
Y
C
29
29
0.57
21
0.42
30
0.60
21
0.43
22
0.45
Switzerland(e)
Y
C
98
98
1.20
64
0.80
39
0.49
47
0.60
67
0.86
(a): Y: yes; N: no; A: aggregated data; C: case-based data; –: no report.
(b): Provisional data for 2014.
(c): No surveillance system.
(d): Sentinel system; notification rates calculated with an estimated population coverage of 30% in 2013–2014 and 25% in
2009–2012.
(e): Switzerland provided data directly to EFSA. The human data for Switzerland also include the ones from Liechtenstein.
A seasonal pattern was observed in the listeriosis cases reported in the EU/EEA in the period 20082014, with large summer peaks and smaller winter peaks (Figure 18). There was a significant
increasing trend (p < 0.01) of listeriosis in the EU/EEA over this period. Six MS (France, Germany,
Hungary, the Netherlands, Poland and Sweden) had significant increasing trends from 2008 to 2014.
Twenty MS, Iceland and Norway reported increased notification rates in 2014 compared with 2013.
Source: Austria, Belgium, Cyprus, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland,
Ireland, Latvia, Lithuania, Malta, Netherlands, Norway, Poland, Romania, Slovakia, Slovenia, Spain, Sweden and the United
Kingdom. Bulgaria, Croatia, Italy and Luxembourg did not report data to the level of detail required for the analysis. Portugal
has no surveillance system for listeriosis.
Figure 18: Trend in reported confirmed human cases of listeriosis in the EU/EEA, by month of
reporting, 2008–2014
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Sixteen MS provided information on hospitalisation for all or the majority of their cases (which
represented 38.0% of all confirmed cases reported in the EU) in 2014. Croatia, the Czech Republic
and Spain reported hospitalisation status for the first time in 2014. Among the cases with known
hospitalisation, 98.9% were hospitalised. This is the highest proportion of hospitalised cases of all
zoonoses under EU surveillance and reflects the susceptibility of the risk groups for listeriosis to
develop severe disease, as well as the focus of the EU surveillance on severe, invasive listeriosis
infections.
Seventeen MS reported 210 deaths due to listeriosis in 2014. This was the highest number of deaths
observed between 2009 and 2014 (annual average: 163). The EU case fatality among the
1,401 confirmed cases with known outcome (64.8%) was 15.0%. France reported the highest number
of fatal cases (51).
Listeriosis infections were most commonly reported in the elderly population (> 65 years old) who
represented 62.3% of reported cases in 2014. Case fatality increased with age peaking at 17.8% (160
deaths) in the age group over 65 years.
3.3.2.
Listeria in food and animals
Comparability of data
It is important to note that results from different countries are not directly comparable owing to
between-country variation in the sampling and testing methods used. The total in the summary tables
might, therefore, not be representative of the EU, because results are highly influenced by the
reporting MS and the sample sizes in their investigations, both of which vary between years.
Only results for the most important food products and animals that might serve as a source for human
infection in the EU are presented.
Food
In 2014, 26 MS and three non-MS reported data on investigations of Listeria monocytogenes in food.
The number of samples tested within each food category ranged from one unit tested to several
thousand. The data presented in this section focus on RTE foods, in which L. monocytogenes was
detected in either qualitative investigations (absence or presence, using detection methods) and/or
quantitative investigations (counts of colony-forming units per gram (CFU/g) or per mL (CFU/mL)
using enumeration methods).
Regulation (EC) No. 2073/2005 lays down food safety criteria for L. monocytogenes in RTE foods. This
regulation came into force in January 2006, and the criteria are described below. The data reported
reflect the obligations of MS under this Regulation and the investigations have, therefore, focused on
testing RTE foods for compliance with the legal microbiological criteria for food safety.
Microbiological criteria
A wide range of different foodstuffs can be contaminated with L. monocytogenes. For a healthy
human population, foods where the levels do not exceed 100 CFU/g are considered to pose a
negligible risk. Therefore, the EU microbiological criterion for L. monocytogenes is set as ≤ 100 CFU/g
for RTE products on the market. These data not take in account measurement uncertainty.
The reported results of L. monocytogenes testing in RTE food samples were evaluated in accordance
with the L. monocytogenes criteria indicated in EU legislation applying certain assumptions, where
appropriate.
Regulation (EC) No 2073/2005 covers primarily RTE food products, and requires the following:

In RTE products intended for infants and for special medical purposes L. monocytogenes must
not be present in 25g of sample.

L. monocytogenes must not be present in levels exceeding 100 CFU/g during the shelf-life of
other RTE products.
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
In RTE foods that are able to support the growth of the bacterium, L. monocytogenes must
not be present in 25g of sample at the time of leaving the production plant; however, if the
producer can demonstrate, to the satisfaction of the competent authority, that the product
will not exceed the limit of 100 CFU/g throughout its shelf-life, this criterion does not apply.
For many of the reported data, it was not evident whether the RTE food tested was able to support
the growth of L. monocytogenes or not. For the non-compliance analysis of samples collected at
processing, the criterion of absence in 25g was applied, except for samples from hard cheeses and
fermented sausages (assumed to be unable to support the growth of L. monocytogenes), where the
limit ≤ 100 CFU/g was applied. For samples collected at retail, the limit ≤ 100 CFU/g was applied,
except for RTE products intended for infants and for special medical purposes, where the presence of
L. monocytogenes must not be detected in 25g of sample.
The results from qualitative examinations using the detection method have been used to analyse the
compliance with the criterion of absence in 25g of sample, and the results from quantitative analyses
using the enumeration method have been used to analyse compliance with the criterion ≤ 100 CFU/g.
Non-compliance in ready-to-eat products
In total, 20 MS reported data which were included in the evaluation for compliance with
microbiological criteria. Compliance with the L. monocytogenes criteria in food categories in 2014 is
presented in Figure 19 as well as in Table 2014_LISTERIACOMPL.
For RTE products on the market, very low percentages (< 1%) were generally found to not comply
with the criterion of ≤ 100 CFU/g. However, higher levels of non-compliance (primarily presence in
25 g) were reported in samples of RTE products at the processing stage, ranging from 0% to 4.7% of
single samples.
As in previous years, all samples of RTE food intended for infants and for medical purposes were
compliant with the L. monocytogenes criteria both at processing (three MS) and at retail (six MS). All
RTE milk samples collected at either processing (11 MS) or retail (10 MS) were also compliant, except
for three batch samples of pasteurised cow’s milk at processing (0.46% of non-compliance).
As observed in previous years, the food category with the highest level of non-compliance at
processing was RTE fishery products (4.7% of single samples and 10.8% of batches), mainly in
smoked fish. Most of the tested units of RTE fishery products originated from Poland, although five MS
reported results for non-compliance. At retail, the levels of non-compliance (0.2% of single samples
and 0.6% of batches) were much lower than those observed at processing plants.
Among samples from RTE products of meat origin, other than fermented sausages, low levels of noncompliance were observed at processing (0.9% of single samples and 3.1% of batches), where noncompliance was reported from 11 MS out of the 13 MS reporting data. Poland reported the majority of
units tested at processing (88.8%). At retail, very low levels of non-compliance were reported (0.4%
of single samples and 0.15% of batches).
Fermented sausages are assumed not to support growth of L. monocytogenes, and all tested products
were found to meet the criterion (no levels exceeding 100 CFU/g) at both processing and retail except
for one single sample at retail.
Hard cheeses are also assumed not to support the growth of L. monocytogenes. All tested units
complied with the criterion ≤ 100 CFU/g at processing and retail, except for one single sample at
retail.
For soft and semi-soft cheeses, very low levels of non-compliance were observed in investigations at
processing (0.2% of single samples and 0.7% of batches). Thirteen MS provided data from processing
and seven MS reported results not compliant with the microbiological criterion (absence in 25g). Noncompliance primarily related to soft and semi-soft cheeses made from cow’s milk. At retail, the levels
of non-compliance were also very low (0.8% of single samples and 0.3% of batches), and the few
non-compliant products were reported from 4 MS out of the 14 MS reporting data.
Among samples of unspecified cheeses, low to very low levels of non-compliance were observed at
processing (0.8% of single samples and 2.1% of batches) and at retail (0.3% of single samples); data
were mainly reported by Italy.
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% non-compliance at processing
RTE fermented sausages (2 MS,
N=121)
Other RTE products of meat origin
(9MS, N=40,853)
2011
Unspecified cheeses, RTE (1 MS,
N=2,272)
2012
2013
2014
Soft and semi-soft cheese, RTE (10
MS, N=8,381)
Hard cheese, RTE (3 MS, N=249)
Fishery products, RTE (10 MS,
N=1,031)
Other RTE products (10 MS,
N=2,139)
0
1
2
3
4
5
6
7
8
7
8
% non-compliance at retail
RTE fermented sausages (3 MS,
N=292)
Other RTE products of meat origin
(9 MS, N=8,966)
2011
2012
Unspecified cheeses, RTE (4 MS,
N=372)
2013
2014
Soft and semi-soft cheese, RTE (10
MS, N=699)
Hard cheese, RTE (5 MS, N=262)
Fishery products, RTE (10 MS,
N=1,356)
Other RTE products (16 MS,
N=16,208)
0
1
2
3
4
5
6
RTE: ready-to-eat. In parentheses, the total number of included samples (N) and MS in 2014.
This graph includes data where sampling stage at retail (also catering, hospitals and care homes) and at processing (also
cutting plants) have been specified for the relevant food types.
Figure 19: Proportion of single samples at processing and retail non-compliant with EU
L. monocytogenes criteria, 2011–2014
Ready-to-eat fish and fishery products
In 2014, 14 MS and one non-MS reported data on L. monocytogenes in RTE fish
(Table 2014_LISTERIAFISH). Most of the tested units were from smoked fish and the majority were
sampled at processing plant level. The presence of L. monocytogenes was detected in 10.6% of the
11,324 tested fish units, but, as the majority of the tested units were sampled in one MS, Poland, the
lack of representativeness should be taken into account when interpreting the overall results. This is
less than what was reported in 2013, where 15.2% of the units tested qualitatively were positive. In
addition, in 2014, 3,483 units of fish were tested by enumeration and 2.5% had counts of
L. monocytogenes above 100 CFU/g (Table 2014_LISTERIAFISH), which is more than what was
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reported in 2013, where 1.6% of units tested quantitatively had counts above 100 CFU/g. However, it
should be noted that differences between years are mainly due to the results of a single large
investigation in Poland.
In 2014, 15 MS reported data on L. monocytogenes in RTE fishery products
(Table 2014_LISTERIAFISHPR). The presence of L. monocytogenes was detected in 1.5% of the
895 units tested using qualitative methods, mostly in samples from cooked or smoked fishery
products. In addition, 1,229 units of fishery products were tested by enumeration and one batch of
shelled, shucked and cooked crustaceans had counts of L. monocytogenes above 100 CFU/g,
corresponding to 0.1% of the total units tested (Table 2014_LISTERIAFISHPR).
A summary of the proportion of L. monocytogenes-positive units in different types of fishery products
is presented in Figure 20. As in previous years, L. monocytogenes was most often detected in RTE fish
(mainly smoked fish), in which the highest percentage of units with L. monocytogenes counts of more
than 100 CFU/g was also detected. Generally, findings were comparable with results in 2013.
12
10
% positive units
8
6
4
2
Fish
Crustaceans and molluscs
Enumeration; >100 cfu/g
Enumeration; ≤100 cfu/g
Detection
Enumeration; >100 cfu/g
Enumeration; ≤100 cfu/g
Detection
Enumeration; >100 cfu/g
Enumeration; ≤100 cfu/g
Detection
0
Other fishery products
Test results obtained by detection and enumeration methods are presented separately. Data pooled for all sampling units
(single and batch), for all sampling stages and for all reporting MS. As data were mostly reported by few MS, the findings
presented in this figure should not be considered representative of the EU.
Fish includes data from Austria, Bulgaria, Cyprus, Czech Republic, Estonia, Greece, Hungary, Ireland, Italy, Poland, Slovakia,
Spain and the United Kingdom (detection: 14 MS; enumeration: 12 MS).
Crustacean and molluscs include data from Austria, Bulgaria, Greece, Ireland, Poland, Portugal, Spain and Sweden
(detection: 8 MS; enumeration: 5 MS).
Other fishery products (including unspecified fishery products and surimi) include data from Austria, Belgium, Bulgaria, Czech
Republic, Estonia, Ireland, Italy, Portugal, Romania, Slovakia, Slovenia and Sweden (detection: 12 MS; enumeration: 8 MS).
Figure 20: Proportion of Listeria monocytogenes-positive units in ready-to-eat fishery products
categories in the reporting EU Member States, 2014
Ready-to-eat meat products, meat preparations and minced meat
In 2014, 16 MS and one non-MS reported data from investigations on L. monocytogenes in RTE meat
products, meat preparations and minced meat.
A summary of the proportions of units positive for L. monocytogenes in RTE products of meat origin is
presented in Figure 21. In 2014, findings were lower than in 2013 for both detection and enumeration
methods for all types of meat except for RTE bovine meat where one investigation from the United
Kingdom increased the proportion of positive units. As in 2013, the highest proportions of positive
units were reported from pig meat where 2.3% of 45,475 units tested using the detection method
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was positive and 0.4% of 15,901 units tested had more than 100 CFU/g. A very large proportion of
the data from RTE products of meat origin came from Poland and, therefore, these results should not
be considered representative of the EU.
Poultry meat
In 2014, 15 MS reported data on L. monocytogenes in RTE broiler meat
(Table 2014_LISTERIARTEBROIL), and nine MS reported on RTE products of turkey meat
(Table 2014_LISTERIARTETURK). The presence of L. monocytogenes was identified in 1.3% of
6,166 units of RTE meat products from broilers tested by detection at retail and in 0.9% of the
6,013 units sampled at processing plant. However, these overall results should not be considered
representative of the EU as the data were mostly reported by two MS: Poland who reported most of
the units sampled at processing, and the United Kingdom who reported the majority of units sampled
at retail. In addition, a total of 5,538 units were tested by enumeration and L. monocytogenes was
reported at levels above > 100 CFU/g in four investigations of cooked broiler meat products reported
by Poland, Estonia, Ireland and the United Kingdom (Table 2014_LISTERIARTEBROIL).
In turkey meat, the presence of L. monocytogenes was only detected in two investigations from
processing plants reported by Hungary and Poland, corresponding to 1.82% of the total 165 units
tested using detection method. No positive findings were reported out of the 203 units of turkey meat
tested by enumeration (2014_LISTERIARTETURK).
Bovine meat
In 2014, test results for RTE bovine meat products were reported by 14 MS and one non-MS and are
summarised in Table 2014_LISTERIARTEBOVINE. The presence of L. monocytogenes was found in
2.5% of 327 units sampled at retail that were tested by detection method and in 0.2% of 7,790 tested
units sampled at processing. In addition, 10 MS provided quantitative data on L. monocytogenes and
counts above 100 CFU/g were found in two investigations of cooked bovine meat products reported
by Ireland and the United Kingdom, corresponding to 0.2% of the 1,056 units tested using the
enumeration method (Table 2014_LISTERIARTEBOVINE).
Pig meat
In 2014, 17 MS and one non-MS reported data on L. monocytogenes in RTE pig meat products. The
presence of L. monocytogenes was detected in 5.7% of 3,264 units sampled at retail and in 2% of
42,082 units sampled at processing. Overall, 16 MS reported positive results for detection. In addition,
15 MS reported data using the enumeration method and counts of L. monocytogenes above
100 CFU/g were found in eight investigations from six MS corresponding to 0.4% of 15,901 units
tested (Table 2014_LISTERIARTEPIG). The majority of RTE meat products from pigs were sampled at
processing plants in Poland.
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3.0
% positive units
2.5
2.0
1.5
1.0
0.5
RTE broiler meat
RTE turkey meat
RTE bovine meat
Enumeration; >100 cfu/g
Enumeration; ≤100 cfu/g
Detection
Enumeration; >100 cfu/g
Enumeration; ≤100 cfu/g
Detection
Enumeration; >100 cfu/g
Enumeration; ≤100 cfu/g
Detection
Enumeration; >100 cfu/g
Enumeration; ≤100 cfu/g
Detection
0.0
RTE pig meat
Test results obtained by detection and enumeration methods are presented separately. Data pooled for all sampling units
(single and batch), for all sampling stages and for all reporting MS. Since data were mostly reported by few MS, the findings
presented in this figure should not be considered representative of the EU.
RTE broiler meat includes data from Bulgaria, Cyprus, Czech Republic, Estonia, Greece, Hungary, Ireland, Italy, Poland,
Portugal, Romania, Slovakia, Spain, Sweden and the United Kingdom (detection: 13 MS; enumeration: 11 MS).
RTE turkey meat includes data from Austria, Cyprus, Czech Republic, Estonia, Hungary, Ireland, Italy, Poland and Portugal
(detection: 8 MS; enumeration: 6 MS).
RTE bovine meat includes data from Austria, Bulgaria, Cyprus, Czech Republic, Estonia, Hungary, Ireland, Italy, Poland,
Romania, Slovakia, Spain, Sweden and the United Kingdom (detection: 13 MS; enumeration: 10 MS).
RTE pig meat includes data from Austria, Belgium, Bulgaria, Cyprus, Czech Republic, Estonia, Greece, Hungary, Ireland, Italy,
Poland, Portugal, Romania, Slovakia, Sweden and the United Kingdom (detection: 16 MS; enumeration: 15 MS).
Figure 21: Proportion of Listeria monocytogenes-positive units in ready-to-eat meat categories in the
reporting EU Member States, 2014
Ready-to-eat cheeses
In 2014, 16 MS and one non-MS reported data from investigations on L. monocytogenes in cheese,
mainly cheese made from cow’s milk.
A summary of the proportion of units positive for cheeses is presented in Figure 22. L. monocytogenes
was more often detected in soft and semi-soft cheeses made from raw or low heat-treated milk than
in hard cheeses or cheeses made from pasteurised milk. This is comparable with findings in 2013. It is
important to note that, as the majority of the units tested were reported by Poland, the results are not
representative.
Soft and semi-soft cheeses
Overall, in 2014, 12,157 units of soft and semi-soft cheeses were tested using detection methods, and
2,633 units were tested by enumeration methods, in the reporting EU MS. Detailed results are
presented in specific tables referenced in the Appendix for each type of soft and semi-soft cheese
(made from raw or low heat-treated milk and from pasteurised milk originating from cows, sheep
and/or goats).
In 2014, the presence of L. monocytogenes was higher in soft and semi-soft cheeses made from raw
or low heat-treated milk (1.0% of the 2,505 units tested by detection) than in soft and semi-soft
cheeses made from pasteurised milk (0.3% out of 9,652 units tested by detection). When using the
enumeration method, counts of L. monocytogenes were reported above 100 CFU/g in four
investigations of soft and semi-soft cheese from raw milk (0.4% of 986 units tested) and in two
investigations of soft and semi-soft cheese from pasteurised milk (0.2% of 1,647 units tested).
L. monocytogenes was not found in any of the tested samples of cheeses made from pasteurised
goat’s milk, sheep’s milk and mixed, unspecified or other milk.
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Hard cheeses
Overall, in 2014, 14,831 units of hard cheeses were reported as tested using detection methods and
2,263 units were reported as tested by enumeration methods in the reporting EU MS. Detailed results
are presented in specific tables referenced in the Appendix for each type of hard cheese (made from
raw or low heat-treated milk and from pasteurised milk originating from cows, sheep and/or goats).
In 2014, L. monocytogenes was found in 0.2% of the 10,074 units of hard cheeses made from raw or
low heat-treated milk tested for detection and 0.1% of the 4,757 units of hard cheeses made from
pasteurised milk. Positive results were only reported by Poland from two qualitative investigations
from hard cheeses made from raw or low heat-treated milk from cows and from sheep. When using
the enumeration method, counts of L. monocytogenes above 100 CFU/g were only detected in one
investigation from hard cheeses made from raw or low heat-treated milk from sheep sampled at retail
reported by Spain (corresponding to 1.52% of the 198 units tested by enumeration). No hard cheeses
from pasteurised milk had levels of L. monocytogenes above 100 CFU/g. It is important to note that,
as the majority of the units tested were reported by Poland, the results are not representative.
8.0
7.0
6.0
% positive units
5.0
4.0
3.0
2.0
1.0
Soft and semi-soft
cheeses
raw-LHT milk
Soft and semi-soft
cheeses
pasteurised milk
Hard cheese
raw-LHT milk
Enumeration; >100 cfu/g
Enumeration; ≤100 cfu/g
Detection
Enumeration; >100 cfu/g
Enumeration; ≤100 cfu/g
Detection
Enumeration; >100 cfu/g
Enumeration; ≤100 cfu/g
Detection
Enumeration; >100 cfu/g
Enumeration; ≤100 cfu/g
Detection
0.0
Hard cheese
pasteurised milk
Test results obtained by detection and enumeration methods are presented separately. LHT: low heat-treated milk.
Data pooled for all sampling units (single and batch), for all sampling stages and for all reporting MS. Since data were mostly
reported by few MS, the findings presented in this figure should not be considered representative of the EU. Data pooled for all
sampling stages for all reporting MSs (single and batch).
Soft and semi-soft cheeses, made from raw-LHT milk include data from Austria, Belgium, Bulgaria, Cyprus, Czech
Republic, Estonia, Ireland, Netherlands, Poland, Portugal, Romania and Slovakia (detection: 11 MS; enumeration: 10 MS).
Soft and semi-soft cheeses, made from pasteurised milk include data from Austria, Belgium, Bulgaria, Cyprus, Czech
Republic, Estonia, Greece, Hungary, Ireland, Poland, Portugal, Romania, Slovakia and Spain (detection: 14 MS; enumeration: 10
MS).
Hard cheese, made from raw-LHT milk includes Austria, Bulgaria, Estonia, Ireland, Poland, Portugal, Romani, and Spain
(detection: 8 MS; enumeration: 6 MS).
Hard cheese, made from pasteurised milk includes data from Austria, Bulgaria, Cyprus, Czech Republic, Estonia, Greece,
Ireland, Poland, Portugal, Romania and Slovakia (detection: 11 MS; enumeration: 9 MS).
Figure 22: Proportion of Listeria monocytogenes-positive units in soft and semi-soft cheeses, and
hard cheeses made from raw or low heat-treated milk and pasturised milk in reporting EU
Member States, 2014
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Detailed information on the data reported and the occurrence of L. monocytogenes in the different
cheese categories has been presented in specific tables referenced in the Appendix.
Other ready-to-eat products
Results from a considerable number of investigations on L. monocytogenes in other RTE products,
such as bakery products, fruits and vegetables, prepared dishes and salads were reported.
In 2014, 15 MS provided data on 3.272 units of RTE fruit and vegetables tested for detection and
2.8% was positive with L. monocytogenes. Italy reported 32.6% of all units tested by qualitative
methods, followed by Poland (26.7%) and the Netherlands (12%). In addition, 15 MS reported data
on 3,485 units tested using enumeration and 0.1% had findings above 100 CFU/g, corresponding to
two investigations (one from Spain and the other from the United Kingdom) from retail. Most data
were from retail and based on single samples (Table 2014_LISTERIAFRUITVEG).
Overall, 11 MS reported on 1,530 units of bakery products tested using the detection method and
1.0% was positive for L. monocytogenes. L. monocytogenes findings above 100 CFU/g were not
reported in any of the 2,887 units analysed using the enumeration method. Most data were from retail
and based on single samples (Table 2014_LISTERIABAKERY).
Eleven MS reported data on 1,134 units tested using the detection method and 1.2% was positive.
Ten MS provided information on 2,730 units tested using the enumeration method and 0.04% had
counts of L. monocytogenes above 100 CFU/g (Table 2014_LISTERIASALAD).
In sauces and dressings, four MS reported information on 246 units tested using the detection method
and L. monocytogenes was only detected in one unspecified unit. L. monocytogenes was also
reported at levels above 100 CFU/g in one unit of unspecified ‘sauce and dressing’ out of the
463 tested by enumeration (Table 2014_LISTERIASAUCE). In spices, three MS reported information
on 330 units tested using detection method and only one MS reported positive findings (5.5%). None
of the investigations detected L. monocytogenes in spices using the enumeration method (Table
2014_LISTERIASPICES. In other processed food products and prepared dishes, L. monocytogenes
was detected in 5.0% (all sandwiches) of 2,030 units tested for detection and 0.6% of the units
tested
for
enumeration
had
counts
of
L. monocytogenes
above
100
CFU/g
(Table 2014_LISTERIAPREPDISH).
In 2014, 14 MS reported data on L. monocytogenes in milk. The presence of L. monocytogenes was
found in 0.4% of the 3,977 milk units tested for detection. Most of the units were sampled by Poland
at farm level. Out of the 512 units tested using enumeration method, no findings of units with counts
above 100 CFU/g were reported. (Table 2014_LISTERIAMILK).
L. monocytogenes was not found in any of the reported investigations of confectionery products and
pastes (Table 2014_LISTERIACONF) and egg products (Table 2014_LISTERIAEGGPR).
Animals
In 2014, 14 MS and one non-MS reported qualitative data on animals tested for Listeria. In total,
38,729 units were tested for Listeria and 2.1% was positive. Data were mainly from animal level
(91.8%). However, the size of the investigations and the proportion of positive samples varied
considerably.
Overall, 71.3% of the positive findings (799 units) were reported as L. monocytogenes, followed by
Listeria spp. (16.0%), L. ivanovii (1.6%) and L. innocua (0.3%). The remaining isolates were reported
without reference to the species.
Findings of Listeria were most often reported in cattle, sheep, goats, pigs and solipeds, but Listeria
was also detected in broilers, cats, dogs, hunted wild boar, foxes, and other wild and zoo animals.
Further details on the findings of Listeria in animals are included in Table 2014_LISTERIAANIMALS.
3.3.3.
Discussion
There has been a steady and significant increasing trend in listeriosis in the EU/EEA since 2008. The
EU notification rate in 2014 was 30% higher than the notification rate in 2013. Part of the increase
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could be explained by the exclusion of one large MS with a relatively low notification rate in previous
years from the notification rate calculation in 2014 due to incomplete reporting. However, increased
numbers of reports from most of the MS also indicate a real rise in human listeriosis. Two thirds of the
MS reported an increase in notification rates of listeriosis in 2014 compared to 2013 and six MS had
an increasing trend from 2008 to 2014. The number of reported listeria outbreaks doubled from 2011
to 2014. Almost all cases are domestically acquired.
While still being relatively rare, human listeriosis is one of the most serious foodborne disease under
EU surveillance. It causes high morbidity, hospitalisation and mortality rates in vulnerable populations,
such as pregnant women, infants and the elderly. Almost all (98.9%) reported listeriosis cases were
hospitalised in 2014, with 210 cases being fatal. This reflects the focus of listeriosis surveillance on
severe systemic infections but also highlights listeriosis as a serious emerging health problem in the
EU. The increase of Listeria infections in humans may be partially explained by the aging population
and thus the increase in the main population at risk of listeriosis in the EU.
L. monocytogenes is widespread in the environment and can colonise processing equipment as
biofilms, therefore, a wide range of different foodstuffs can be contaminated. For a healthy human
population, foods not exceeding the level of 100 CFU/g are considered to pose a negligible risk.
Therefore, the EU microbiological criterion for L. monocytogenes in RTE food is set at ≤ 100 CFU/g for
RTE products on the market.
In 2014, the non-compliance for different RTE food categories was generally at a level comparable to
previous years. The proportion of non-compliant units at retail was lower than at processing, for all
categories and cannot explain the increase observed in number of human cases.
As in previous years and consistent with the results of the EU baseline survey on the prevalence of
L. monocytogenes in certain RTE foods at retail (EFSA, 2013a), the proportion of positive samples at
retail was highest in fish products (mainly smoked fish), followed by soft and semi-soft cheeses, RTE
meat products and hard cheeses.
Several MS reported findings of Listeria in animals. Most of the tested samples were from cattle, and
to a lesser degree from goats and sheep. Findings of Listeria were most often reported in these three
animal species, but Listeria was also reported in broilers, cats, dogs, hunted wild boar, foxes, and
other wild and zoo animals. Listeria is widespread in the environment; therefore, isolation from
animals is to be expected and increased exposure may lead to clinical disease in some animals.
3.4.
Verocytotoxigenic Escherichia coli
The Appendix contains hyperlinks to
humans, food, animals and food-borne
and figures that were not included
observation. The summarised data are
by subject.
3.4.1.
all data summarised for the production of this section, for
outbreaks. It also includes hyperlinks to VTEC summary tables
in this section because they did not trigger any marked
presented in downloadable Excel and PDF files, and are listed
Verocytotoxigenic Escherichia coli in humans
In 2014, 6,013 cases of VTEC32 infections, of which 5,955 confirmed, were reported in the EU (Table
13). This is a slight decrease compared with 2013. Twenty-four MS reported at least one confirmed
case and three MS reported zero cases. The EU notification rate was 1.56 cases per 100,000
population, 1.9% lower than the notification rate in 2013. The highest country-specific notification
rates were observed in Ireland, the Netherlands, Denmark and Sweden (12.42, 5.46, 4.96 and 4.89
cases per 100,000 population, respectively). Nine countries (Bulgaria, Croatia, Cyprus, Greece, Latvia,
Lithuania, Poland, Romania and Slovakia) reported < 0.1 cases per 100,000 population).
Most of the VTEC cases reported in the EU were infected within their own country (62.7% domestic
cases, 11.9% travel-associated and 25.4% of unknown origin). Finland reported the same proportion
(48.4%) of travel-associated cases as domestic cases. Among travel-associated cases, Turkey, Spain
32
Also known as verotoxigenic, verocytotoxigenic, verotoxin-producing, verocytotoxin-producing E. coli (VTEC) or Shiga toxinproducing E. coli (STEC).
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and Egypt were considered the most probable countries of infection (168, 48 and 47 cases
respectively).
Table 13: Reported human cases of VTEC infections and notification rates per 100,000 population in
the EU/EEA, by country and year, 2010–2014
Country
2014
2013
2012
2011
2010
National
Data
Total
Confirmed
Confirmed
Confirmed
Confirmed
Confirmed
coverage(a) format(a) cases cases & rates cases & rates cases & rates cases &rates cases & rates
Cases Rate Cases Rate Cases Rate Cases Rate Cases Rate
Y
C
131
131
1.54
130
1.54
130
1.55
120
1.43
88
1.05
N
C
85
85
–
117
–
105
–
100
–
84
–
Y
A
0
0
0.00
1
0.01
0
0.00
1
0.01
0
0.00
Y
A
4
4
0.09
–
–
–
–
–
–
–
–
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Y
C
29
29
0.28
17
0.16
9
0.09
7
0.07
1
0.00
Austria
Belgium(b)
Bulgaria
Croatia
Cyprus
Czech
Republic(c)
Denmark
Y
C
280
29
4.96
191
3.41
199
3.57
215
3.87
178
3.22
Estonia
Y
C
6
6
0.46
8
0.61
3
0.23
4
0.30
5
0.38
Finland
Y
C
64
64
1.17
98
1.81
32
0.59
27
0.50
20
0.37
France(d)
N
C
221
221
–
218
–
208
–
221
–
103
–
Germany
Y
C
1,704
1,663
2.06 1,639
2.00 1,573 1.93 5,558 6.82
955
1.17
Greece
Y
C
1
1
0.01
2
0.02
0
0.00
1
0.01
1
0.01
Hungary
Y
C
18
18
0.18
13
0.13
3
0.03
11
0.11
7
0.07
Ireland
Y
C
576
572
12.42
564
12.29
412
8.99
275
6.02
197
4.33
Italy(b)
N
C
77
68
–
65
–
50
–
51
–
33
–
Latvia
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Lithuania
Y
C
1
1
0.03
6
0.20
2
0.07
0
0.00
1
0.03
Luxembourg
Y
C
3
3
0.55
10
1.86
21
4.00
14
2.74
7
1.39
Malta
Y
C
5
5
1.18
2
0.48
1
0.24
2
0.48
1
0.24
Netherlands
Y
C
919
919
5.46 1,184
7.06 1,049 6.27
845
5.07
478
2.88
Poland
Y
C
8
5
0.01
5
0.01
3
0.01
5
0.01
4
0.01
Portugal(e)
–
–
–
–
–
–
–
–
–
–
–
–
–
Romania
Y
C
2
2
0.01
6
0.03
1
0.01
2
0.01
2
0.01
Slovakia
Y
C
2
2
0.04
7
0.13
9
0.17
5
0.09
10
0.19
Slovenia
Y
C
29
29
1.41
17
0.83
29
1.41
25
1.22
20
0.98
Spain
Y
C
50
50
0.11
28
0.06
32
0.07
20
0.04
18
0.04
Sweden
Y
C
472
472
4.89
551
5.77
472
4.98
477
5.07
334
3.58
United
Y
C
1,326
1,326
2.06 1,164
1.82 1,337 2.11 1,501 2.40 1,110
1.79
Kingdom
EU Total
–
–
6,013
5,955
1.56 6,043
1.59 5,680 1.50 9,487 2.58 3,657
1.00
Iceland
Y
C
3
3
0.92
3
0.93
1
0.31
2
0.63
2
0.63
Norway
Y
C
151
151
2.96
103
2.04
75
1.50
47
0.96
52
1.07
Switzerland(f)
Y
C
122
122
1.50
81
1.00
65
0.80
76
0.95
34
0.43
(a): Y: Yes; N: No; A: Aggregated data; C: Case-based data; –: No report.
(b): Sentinel surveillance; no information on estimated coverage, thus notification rate cannot be estimated.
(c): Mandatory notification of VTEC in 2008 and reported to ECDC from 2011.
(d): Sentinel surveillance; only cases with HUS are notified.
(e): No surveillance system.
(f): Switzerland provided data directly to EFSA. The human data for Switzerland also include the ones from Liechtenstein.
There was a clear seasonal trend in confirmed VTEC cases reported in the EU/EEA between 2008 and
2014, with more cases reported during the summer months (Figure 23). A dominant peak in the
summer of 2011 was due to the large enteroaggregative Shiga toxin-producing E. coli (STEC)
O104:H4 outbreak associated with the consumption of contaminated raw sprouted seeds affecting
more than 3,800 persons in Germany, with linked cases in an additional 15 countries (EFSA and ECDC,
2013).
There was an increasing trend observed over the 7-year-period, 2008-2014, in the EU/EEA (Figure 23)
statistical test for trend not suitable due to the outbreak peak in 2011) and a significant (p < 0.05)
increasing trend in 10 countries (Austria, Denmark, Finland, France, Ireland, Italy, the Netherlands,
Norway, Slovenia and Sweden). A significant decreasing trend was observed in Slovakia.
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Source: Austria, Belgium, Bulgaria, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy,
Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Norway, Poland, Slovakia, Slovenia, Sweden and the United Kingdom.
The Czech Republic, Croatia, Iceland, Romania and Spain did not report data to the level of detail required for the analysis.
Portugal does not have any surveillance system for this disease.
Figure 23: Trend in reported confirmed cases of human VTEC infections in the EU/EEA, by month of
reporting, 2008–2014
Data on VTEC serogroups (based on O antigens) were reported by 22 MS, Iceland and Norway in
2014. As in previous years, the most commonly reported serogroup was O157 (46.3% of cases with
known serogroup) although its proportion declined (Table 14). Serogroup O157 was followed by
serogroups O26, O103, O145, O91, O146 and O111. Three new serogroups entered the top 20 list in
2014: O55, O8 and O80. Among these, O55 was reported by 11 countries in 2014 compared with six
countries in the previous 2 years. The proportion of non-typable33 VTEC strains continued to increase
in 2014, as did the proportion of O-rough34 strains. No cases of O104:H4 were reported in 2014 and
only four cases of O104 with unknown H-group were reported by three countries (Germany, Norway
and the United Kingdom), two of which were acquired outside the EU/EEA, and none had a fatal
outcome.
Table 14: Distribution of reported confirmed cases of human VTEC infections in 2014 in the EU/EEA,
2012–2014, by the 20 most frequent serogroups
Serogroup
O157
O26
Non-typable
O103
O145
O91
O146
2014
2013
2012
Cases
MS
%
Cases
MS
%
Cases
MS
1,694
444
315
193
105
105
83
23
16
9
12
11
11
9
46.3
12.1
8.6
5.3
2.9
2.9
2.3
1,799
477
298
160
96
94
75
23
17
10
12
11
11
9
48.1
12.8
8.0
4.3
2.6
2.5
2.0
1,981
417
136
231
112
131
59
19
17
11
13
11
8
9
%
54.9
11.6
3.8
6.4
3.1
3.6
1.6
33
Non-typable VTEC include those strains where the laboratory tried, but was not able to define the O-serogroup. This depends
on how many sera/molecular tools are included in the typing panel.
34
O-rough strains lack the O-chains in the lipopolysaccharide, leading to autoagglutination in the agglutination tests used to
determine serogroup or serotype.
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Serogroup
Orough
O111
O128
Non-O157
O55
O113
O121
O63
O117
O76
O5
O8
O80
Other
Total
2014
2013
2012
Cases
MS
%
Cases
MS
%
Cases
MS
%
55
54
47
42
37
31
31
24
21
21
16
15
15
308
7
11
11
3
11
10
6
6
8
7
7
7
3
–
1.5
1.5
1.3
1.1
1.0
0.8
0.8
0.7
0.6
0.6
0.4
0.4
0.4
8.4
41
78
41
36
11
27
23
18
24
20
15
11
8
386
5
13
8
3
6
6
7
3
8
9
5
5
3
–
1.1
2.1
1.1
1.0
0.3
0.7
0.6
0.5
0.6
0.5
0.4
0.3
0.2
10.3
24
66
37
21
25
24
27
12
22
22
7
11
4
239
5
10
8
3
6
8
4
2
6
7
4
6
1
–
0.7
1.8
1.0
0.6
0.7
0.7
0.7
0.3
0.6
0.6
0.2
0.3
0.1
6.6
3,656
24
100.0
3,738
24
100.0
3,608
22
100.0
Source: 22 MS and two non-MS: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece,
Hungary, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Poland, Romania, Slovakia, Slovenia, Spain, Sweden,
and the United Kingdom.
Sixteen MS provided information on hospitalisation, covering 39.9% of all confirmed VTEC cases in the
EU in 2014. Of the cases with known hospitalisation status, 39.2% were hospitalised. The highest
proportions of hospitalised cases (90–100%) were reported in Greece, Italy, Lithuania and Romania.
Three hundred and sixty cases of HUS were reported, with the majority being in patients who were
0–4 years (228 cases) and 5–14 years old (69 cases). The most common serogroups among HUS
cases were O157 (42.8%), O26 (18.6%), O111 (5.3%) and O145 (4.6%), while 8.0% were
untypable.
In 2014, seven deaths due to VTEC infection were reported in the EU compared with 13 in 2013. Five
MS reported one to two fatal cases each, and 13 MS reported no fatal cases. This resulted in an EU
case fatality rate of 0.2% among the 3,491 confirmed cases for which this information was provided
(58.6% of all reported confirmed cases). The serogroups associated with fatal cases were O157 (two
cases), O76 (one case), O146 (one case) and O181 (one case). For two fatal cases, the serogroup
was not specified.
3.4.2.
Verocytotoxigenic Escherichia coli in food and animals
Comparability of data
Data on VTEC detected in food and animals are reported annually on a mandatory basis by EU MS to
the EC and EFSA, based on Directive 2003/99/EC. In order to improve the quality of the data from
VTEC monitoring in the EU, EFSA issued technical specifications for the monitoring and reporting of
VTEC in animals and food in 2009 (EFSA, 2009a). Those guidelines were developed to facilitate the
generation of data which would enable a more thorough analysis of VTEC in food and animals in the
future. The specifications encourage MS to monitor and report data on serogroups that were
considered by the BIOHAZ Panel as an important indicator of human pathogenicity (EFSA BIOHAZ
Panel, 2013a).
When interpreting the VTEC data it is important to note that data from different investigations are not
necessarily directly comparable owing to differences in sampling strategies and the analytical methods
applied. In 2014, two main categories of analytical methods were used by reporting countries:
a) Methods aiming at detecting any VTEC, regardless of the serotype. These methods are usually
based on PCR screening of sample enrichment cultures and isolated colonies for the presence
of vtx genes, followed by the characterisation of the isolated VTEC strains. This category
includes the method ISO/TS 13136:2012 (ISO, 2012), other PCR-based methods, and also
methods based on the detection of verocytotoxin production by immunoassays.
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b) Methods designed to detect only VTEC O157, such as the method ISO 16654:2001 (ISO,
2001) and the equivalent NMKL 164:2005 (NMKL, 2005). VTEC O157 is the serotype most
commonly reported in the EU as a cause of both outbreaks and sporadic cases in humans and
has also been identified as the major cause of HUS in children (ECDC, 2013; EFSA BIOHAZ
Panel, 2013a). The focus has therefore traditionally been on this serotype in many of the MS
surveillance programmes.
The standard methods ISO/TS 13136:2012 (ISO, 2012), ISO 16654:2001 (ISO, 2001) and NMKL
164:2005 (NMKL, 2005) are intended for testing food and feed, but have been adapted to test animal
samples by many reporting countries.
The proportion of food and animal samples reported by MS and non-MS and tested for VTEC by the
different analytical methods is presented in Table 2014_VTECANMETH. As monitoring criteria and
analytical methods are not yet fully harmonised across the different countries, the unequal distribution
of sampled units per country may have introduced a selection bias in the calculation of VTEC
prevalence or VTEC serogroup distribution when data were analysed at the EU level.
It is important to note that, for the estimation of the proportion of samples positive for VTEC in the
different food and animal categories referenced in this section and in the Appendix, data from industry
own-control programmes, HACCP, suspect sampling, selective sampling and outbreak or clinical
investigations were excluded. The whole dataset was instead used for any other descriptive analysis
on VTEC findings in food and animals, including the serogroups’ frequency distribution.
Detailed information on the data reported and on the occurrence of VTEC in the different food and
animal categories has been included in specific tables referenced in the Appendix.
Verocytotoxigenic Escherichia coli in food
In 2014, data on VTEC in food were reported by 19 MS and Switzerland, for a total of 21,671 samples.
The EFSA technical specifications for the monitoring and reporting of VTEC (EFSA, 2009a) were
followed by 15 MS and Switzerland. The use of the standard method for the detection of VTEC in food
ISO/TS 13136:2012 or equivalent methods was reported by 13 MS and Switzerland, and accounted
for 41.4% of the 21,671 units tested. The methods ISO16654:2001 or NMKL 164:2005, which detect
only VTEC O157, were used by nine MS, and accounted for 6.4% of the samples tested. The use of
other PCR-based methods was reported by four MS. Some MS reported the use of more than one type
of method.
As a whole, 15 MS reported 355 positive samples, corresponding to 1.7% of the 21,420 food samples
tested in the EU. All those MS provided information on VTEC O157. Overall, 58 samples positive for
VTEC O157 (0.3% of total food samples examined by MS) were reported by six MS. In addition,
Switzerland provided information on 251 food samples tested for VTEC/VTEC O157, but no positive
findings were reported.
The proportion of VTEC-positive samples in the main food categories, regardless the analytical method
employed, is shown in Figure 24, in comparison with the proportions reported in 2012 and 2013. The
proportion of VTEC-positive units did not exceed 4% in the most frequently tested food categories
(milk and dairy products, fresh bovine meat, fruits and vegetables and other foods). A high proportion
of VTEC-positive samples (30.8%) was reported for fresh meat from ‘other ruminants’ (deer), but the
figure refers to a limited number of samples (n=26) reported by two MS (Austria and Italy). The
presence of VTEC was reported in fresh ovine and goat meat (4.1% of 98 samples, reported by five
MS), followed by raw cow’s milk (3.6% of 871 samples, reported by six MS), and fresh bovine meat
(2.6% of 2,549 samples, reported by nine MS). No VTEC-positive samples were reported for sprouted
seeds (761 samples tested, as reported by 11 MS).
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Data from industry own-control programmes, Hazard Analysis and Critical Control Point (HACCP), suspect sampling, selective
sampling and outbreak or clinical investigations are not included in this graph. ‘Fresh meat from other ruminants’ includes meat
from deer. ‘Fresh meat from other animals’ includes meat from horse, donkey, rabbit, wild boar, red meat (from bovine, pigs,
goats, sheep, horses, donkeys, bison and water buffalo), meat from poultry, meat from other poultry, meat from other animal
species or not specified. Fresh ovine and goat meat: no data on fresh goat meat were reported in 2012. Sprouted seeds are not
included as no positive units were detected, except for 1 positive unit out of 297 units tested in 2012. Pig meat (not included in
the figure): 0.57% in 2012, 0% in 2013, and 0.73% in 2014).
Source 2012: 17 reporting MS (Austria, Belgium, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary,
Ireland, Italy, Netherlands, Poland, Romania, Slovenia, Spain and Sweden);
Source 2013: 14 reporting MS (Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Italy,
Netherlands, Poland, Slovakia and Spain);
Source 2014: 19 reporting MS (Austria, Belgium, Cyprus, Czech Republic, Denmark, Estonia, France, Germany, Hungary,
Ireland, Italy, Netherlands, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden and the United Kingdom).
Figure 24: Proportion of VTEC-positive samples in food categories in the reporting Member States,
2012–2014
Results for the most important food categories that might serve as a source for human infection in the
EU are presented below.
Bovine meat
Contaminated bovine meat is considered to be a major source of food-borne VTEC infections in
humans. In 2014, nine MS provided data from 2,549 units of fresh bovine meat (945 batches and
1,604 single samples) tested for VTEC, and 2.6% was positive for VTEC (0.9% for VTEC O157). In
total, data on 930 carcases collected at the slaughterhouse were reported by three MS: 23 were
positive for VTEC and one of them was positive for VTEC O157 (Table 2014_VTECBOVINEMEAT). One
MS reported 945 batch-based samples, all from slaughterhouses or processing plants, and they were
all negative for VTEC. The remaining 674 single samples were collected at the slaughterhouse,
processing plant and retail, and low proportions of positive samples were reported at all sampling
stages. The proportion of positive samples was similar to that reported in 2013 (Figure 24).
In 2014, the serogroups most frequently reported in bovine meat (including all types of bovine meat)
were O157 (25 isolates), O113 (8), O103 (6), O174 (6) and O26 (5).
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Ovine and goat meat
Five MS reported on 82 units of fresh ovine meat tested for VTEC (two batches and 80 single
samples) with 4.9% positive with VTEC (Table 2014_VTECOVINEMEAT), which is lower than in the
previous years (Figure 24). No samples from ovine meat were positive for VTEC O157, but serogroups
O146 and O103, both frequently reported in human infections (EFSA BIOHAZ Panel, 2013a), were
reported.
In 2014, only one MS reported on fresh goat meat and found no positive carcases out of 16 analysed
(Table 2014_VTECGOATMEAT).
Meat from other ruminants
In 2014, two MS provided information on fresh deer meat with 30.8% positive samples out of the
26 tested. All tested and positive samples were reported by Austria, except one negative sample
reported by Italy (Table 2014_VTECOTHERMEAT). High proportions of VTEC-positive samples from
fresh deer meat were also reported in 2012 and 2013, although lower than the proportion reported in
2014 (Figure 24).
Meat from other animal species
Five MS provided information from 274 single samples of pig meat tested, with 78.1% of the samples
being carcases at the slaughterhouse. Two non- O157 VTEC-positive samples were reported from
carcases (Table 2014_VTECPIGSMEAT).
Information on meat from other animal species (broilers, turkey, wild boar, rabbit or unspecified
meat) was provided by two MS, from 239 single samples tested. VTEC was detected in one single
sample of unspecified meat (see Table 2014_VTECOTHERMEAT). The findings are similar to that
reported in 2013 (Figure 24).
Milk and dairy products
In 2014, six MS reported data on VTEC in samples of raw cow’s milk (59 batches and 812 single
samples), with 3.6% positive samples out of 871 tested. The proportion of VTEC-positive samples
from raw cow’s milk has increased in 2014 compared with the previous years (Figure 24 and
Table 2014_VTECRAWCOWMILK).
Two MS provided information on eight units of raw milk from goats and one MS reported two samples
of raw milk from sheep and VTEC was not detected (Tables 2014_VTECRAWGOATSMILK and
2014_VTECRAWSHEEPMILK).
Eleven MS reported 6,635 samples of milk (not raw milk) and dairy products, and 1.2% was positive
for VTEC (Table 2014_VTECDAIRY). The samples were mainly collected from cheese (58.0%) and
milk (37.7%), followed by other types of dairy products (4.3%). The proportion of positive units was
higher for milk samples (1.6%) than for cheese samples (1.1%). No positive units were reported in
the other dairy products. There were no reports of VTEC O157.
Sprouted and dry seeds
The year 2014 was the first full year of application of Regulation (EU) 209/201335 which establishes
microbiological criteria for VTEC in sprouted seeds. In 2014, the number of samples tested increased
from 616, reported in 2013 by eight MS, to 761 samples of sprouted seeds, reported by eight MS
(Table 2014_VTECSEED). In addition, in 2014 two MS reported 13 samples of dry seeds intended for
sprouting. No positive findings were reported in 2014, as in 2013.
Vegetables and fruits
In 2014, 12 MS reported data from 1,544 vegetable units tested for VTEC (23 batches and
1,521 single samples). Two MS reported very low levels (0.13%) of VTEC-positive samples in
35
Commission Regulation (EU) No 209/2013 of 11 March 2013 amending Regulation (EC) No 2073/2005 as regards
microbiological criteria for sprouts and the sampling rules for poultry carcases and fresh poultry meat. OJ L 68, 12.3.2013, p.
19–23.
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unspecified non-pre-cut and RTE pre-cut vegetables (Figure 24). There was no reporting of VTEC
O157 (Table 2014_VTECVEGETABLE).
Five MS reported VTEC-negative data from 180 units of fruit (one batch and 179 single samples)
(Table 2014_VTECFRUITS). More MS reported data on vegetables and fruits compared to the last 2
years (Figure 24).
Analysis of VTEC serogroups in food
An estimation of the proportion of food samples positive for the VTEC serogroups most commonly
reported in the EU (ECDC, 2013; EFSA BIOHAZ Panel, 2013a) as a cause of HUS in children (O157,
O26, O103, O111, and O145, the so called ‘top five’ serogroups), was obtained by considering only
the analysis carried out by the method ISO/TS 13136:2012. This standard method is able to detect
any VTEC, and is particularly focused on the detection of strains belonging to the ‘top 5’ serogroups.
Therefore, this subset of data, representing 41.4% of the total food samples tested, can be
considered homogeneous and may facilitate a more comparable estimation of the level of
contamination with the main VTEC serogropups in the different food categories.
Among the 8,968 food samples tested by 13 MS and Switzerland using ISO/TS 13136:2012, 141
(1.6%) were positive for VTEC (Table 15), a proportion similar to that obtained for food samples
tested by any analytical method (1.7%).
Interestingly, the VTEC serogroups O26 and O103 were reported more frequently than O157, mainly
in bovine meat, in milk and dairy products, and in raw milk.
Table 15: Proportion of positive samples for any VTEC and VTEC belonging to the ‘top-5’ serogroups
in food categories in Member States and non-Member States, 2014(a)
Food category
Bovine meat(b)
Ovine and goat meat(b)
Other ruminants meat(b),(c)
Pig meat(b)
Other meat(b)(d)
Milk and dairy products(e)
Raw milk(f)
Fruit and vegetable
Seeds(g)
Other food
Total
Samples
tested by
ISO/TS
13136:
2012(a)
N
2,522
21
40
841
786
2,182
410
1,150
799
217
8,968
Samples positive for
any VTEC
O157
O26
O145
O103
O111
N
%
N
%
N
%
N
%
N
%
N
%
pos pos pos pos pos pos pos pos pos pos pos pos
75 3.0
3
0.1
5
0.2
3
0.1
5
0.2
3 14.3
1
4.8
13 32.5
10 1.2
1
0.1
13 1.7
1
0.1
13 0.6
4
0.2
3
0.1
13 3.2
1
0.2
4
1.0
2
0.5
2
0.5
1
0.2
1
0.1
141
1.6
5
0.1
14
0.2
5
0.1
11
0.1
1
0.0
N: number of samples; pos: positive; VTEC: verocytotoxigenic Escherichia coli.
(a): Only samples tested by the ISO/TS 13136 method or other Real Time PCR-based methods employing similar reagents and
protocols were considered.
(b): The different meat categories presented in this table include all type of meat (not only fresh);
(c): Includes meat from deer.
(d): Includes meat from other animals (other than ruminants);
(e): Includes any type of dairy product, cheese and milk other than raw milk;
(f): Includes raw milk from different species, but the majority of the tested and all the positive samples were from cows;
(g): The majority of samples were sprouted seeds, but dry seeds are also included in this category.
The data on the VTEC serogroups reported for food samples by applying any analytical method were
used to estimate the relative frequency of each serogroup in the different food categories. In total,
12 MS provided information on the serogroups of 226 VTEC isolates obtained from food samples. For
53 isolates, only the information that they did not belong to O157 serogroup was reported, while the
VTEC serogroup was determined for the other 173 isolates. Overall, the most frequently reported
serogroup was VTEC O157 with 58 isolates (25.7% of the 226 VTEC isolates; 33.5% of the 173 strains
with an identified serogroup). However, the frequency might have been influenced by MS-specific
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results, as most of the VTEC-O157 positive samples were reported by Spain and Portugal. VTEC O157
was reported in bovine meat (25 isolates), other meat (8), pig meat (3) and raw milk (2). Twenty
isolates derived from a single investigation conducted in Spain on ‘other foods’ but no details on the
type of samples were provided.
After O157, the second most reported serogroup was VTEC O26 (8.7% of the 173 strains with an
identified serogroup), followed by O103 (6.9%), O145 (2.9%), O113 (6.4%), O146 (4.6%), O174
(4.6%), and O91 (4.0%). It is interesting to note that all these serogroups, with the possible
exception of O174, are among those most commonly reported in human infections in the EU in 2014,
as well as in the preceding years (ECDC, 2013).
The relative frequency distribution of the non-O157 VTEC serogroups in the different food categories
is shown in Table 16. VTEC O26 was particularly common among the isolates from milk and dairy
products while VTEC O113, O146, O174 and O91 occurred frequently among isolates from meat
products. Serogroups O103 and O145 were reported in both meat and milk and dairy products. Other
reported serogroups were: VTEC O8, O21, O22, O43, O55, O74, O88, O130, O139, O142, O15O,
O153, O176, O182, and O183.
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Table 16: Frequency distribution of non-O157 VTEC serogroups in food categories in Member States, 2014
Food category
Bovine meat(b)
Ovine and goat meat(b)
Other ruminants meat(b),(c)
Pig meat(b)
Other meat (b)(d)
Milk and dairy products(e)
Raw milk(f)
Fruit and vegetable
Totals
No of VTEC
isolates
with
serogroup O26
reported
44
11.4
7
15
3
17
5.9
15
33.3
13
30.8
1
115
14.8
Non-O157 VTEC serogroups(a)
% of VTEC isolates with serogroup, reported in the specific food category
O103 O145
13.6
14.3
O111 O146 O91
6.8
2.3
28.6
26.7
O76
4.5
O113
O5
18.2
2.3
O174 O87 O116
13.6
14.3
4.5
14.3
13.3
33.3
17.6
20.0
15.4
15.4
17.6
13.3
5.9
13.3
7.7
O6
Other serogroups (list)
22.7
14.3 14.3
60.0
66.7
52.9
20.0
30.8
(O8, O22, O55, O130, O183)
(O176)
(O74, O88, O139, O142)
(O74, O182)
(O8, O15, O21, O43, O88)
(O153)
(O55)
100.0
11.9
4.9
1.0
7.9
6.9
4.9
10.9
1.0
7.9
1.0
2.0
1.0
(O8, O15, O21, O22, O43,
O55, O74, O88, O130, O139,
33.0
O142, O153, O176, O182,
O183)
Note: data originating from any analytical method are included.
(a): Non-O157 VTEC serogroups are listed according to their public health relevance as a cause of human infections in the EU (EFSA BIOHAZ Panel, 2013a).
(b): The different meat categories presented in this table include all type of meat (not only fresh).
(c): Includes meat from deer.
(d): Includes meat animals other than non-ruminant species.
(e): Includes any type of dairy product, cheese and milk other than raw milk.
(f): Includes raw milk from different species, but the majority of tested samples and all the positive samples were from cows.
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Trends in the reporting of VTEC serogroups in food
The proportion of food samples positive for the VTEC serogroups most frequently reported by MS and
non-MS between 2011 and 2014 was analysed and is reported in Figure 25. More details on the
serogroup reporting trends are provided in Table 2014_VTECGROUPTRENDFOOD. Due to the low
number of positive samples for each food category, data were presented aggregated for the total of
all food samples tested. An increasing trend of reporting in food was observed for VTEC O26 and
VTEC O103, two serogroups strongly associated with severe human infections in the EU.
Figure 25: Proportion of food samples positive for the most frequent VTEC serogroups (per
1,000 samples tested), reported by Member States and non-Member States, 2011–2014
Verocytotoxigenic Escherichia coli in animals
Overall, data on VTEC in animals were provided by 10 MS (5,526 samples tested in total), five of
which followed the EFSA technical specifications for the monitoring and reporting of VTEC (EFSA,
2009a) and adapted the standard methods ISO/TS 13136:2012, ISO 16654:2001 and NMKL 164:2005
to test animal samples (Table 2014_VTECANMETH). A total of 1,884 samples (34.1%) were tested by
these methods, while the use of unspecified microbiological tests was reported for 10.9% of the
samples. For 46.5% of samples, the method was not reported and remained not classified.
Detailed information on the data reported and on the occurrence of VTEC in the different animal
categories has been included in specific tables referenced in Appendix.
The proportion of VTEC-positive samples in the main animal species, regardless the analytical method
employed, is shown in Figure 26, in comparison with the proportions reported in 2012 and 2013.
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Data from suspect sampling, selective sampling, and clinical investigations were not included in this graph. Other animals
include: cats, dogs, horses, donkeys, turkeys and other animals.
Source 2012: Austria, Belgium, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, the
Netherlands, Poland, Romania, Slovenia, Spain and Sweden.
Source 2013: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Italy, the Netherlands,
Poland, Slovakia, Spain and Norway.
Source 2014: Austria, Denmark, Estonia, Finland, Germany, Italy, Netherlands and the United Kingdom.
Figure 26: Proportion of VTEC-positive samples in animal categories in Member States and nonMember States, 2012–2014
As in the previous 2 years, the reported proportion of VTEC-positive samples in 2014 was higher for
pigs (14.4% of 527 tested units) and sheep and goats (11.2% of 789 tested units) than for cattle
(3.8% of 3,642 tested units). However, the testing results were influenced by MS-specific results, as
most data on pigs were reported by a single MS (Germany) and no details were provided on the
method used and on the serogroups and virulence genes (vtx1, vtx2, eae) of most of the VTEC strains
isolated.
As for the VTEC serogroups, all MS reporting VTEC in animals in 2014 provided information on
serogroup O157, and 130 VTEC O157-positive samples (2.4%) were reported by nine MS. The highest
proportion of VTEC O157-positive samples was reported for cattle (3.0%).
Results for the most important animal categories are presented below.
Cattle
Six MS reported 3,642 units of cattle tested for VTEC (2,517 animals, 1,132 herds and 2 holdings) and
five MS reported positive findings. In total, 3.8% of the samples were positive for VTEC and 1.2% was
positive for VTEC O157 (Figure 26 and Table 2014_VTECCATTLE). The overall proportion of VTECpositive units found in cattle was lower than in 2013 (Figure 26). Finland reported positive results for
2.6% of 1,545 units specifically tested for VTEC O157. Germany reported positive results for 2.6% of
1,513 units tested for VTEC, with only two isolates reported as VTEC O157 (0.1%). The highest
proportion of positive samples was reported by Austria, who found 31.9% of the 135 cattle sampled
at slaughter positive for VTEC, with two of them (1.5%) being VTEC O157. Of the 21 serogroups
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reported from cattle, the most frequent was O157 (112 isolates), followed by O26 (14), O113 (6),
O174 (5) and O103 (4).
Sheep and goats
In 2014, five MS reported 789 units of sheep and goats tested for VTEC (748 animals and 41 herds),
and 11.2% was positive. There were no findings of VTEC O157 (Figure 26,
Table 2014_VTECOVINEGOAT). In sheep, 86 out of 586 tested units (14.7%) were positive, compared
with 2 out of 203 tested units in goats (1.0%). The highest proportion of positive samples was
reported by Austria in sheep sampled at the farm using recto-anal swabs as the sampling method
(60.2% positive out of 133 animals tested).
In 2014, a monitoring programme on the trends of VTEC prevalence in cattle at slaughter and sheep
at the farm was carried out in Austria throughout 2014. The high prevalence of isolated VTEC from
cattle (31.9%) and sheep (60.2%) could be due to the type of sample (testing recto-anal swabs could
be more sensitive than faecal culture), the PCR-based analytical procedure, and the improvement in
the VTEC isolation techniques, obtained by using enterohemolysin-agar.
[Source: complementary information provided by Austria to EFSA in the context of the 2014 data
reporting on zoonoses and food-borne outbreaks]
Pigs
Pigs were tested for VTEC in Germany and Italy, which reported data on 527 units (187 herds and 340
animals) (Figure 26). In particular, Germany found 13.5% of 340 animals and 17.7% of 170 herds
positive for VTEC, out of which 0.9% and 1.2% were positive for VTEC O157, respectively (Table
2014_VTECPIGS). All the 17 herds tested in Italy were negative for any VTEC. The non-O157 VTEC
serogroups detected included O103 (3 samples), O26 (1), O111 (1), and the ‘pig host adapted’
serogroups O139 (2) and O141 (3). However, no information on serogroup was reported for most
VTEC-positive samples.
Other animal species
Two MS reported data on 110 units of cats, dogs and solipeds (horses and donkeys) tested for VTEC.
Positive findings were reported by Germany in dogs (1 positive out of 43 tested) and horses
(2 positive animals out of 23 tested, and two positive herds out of 17 tested herds). The overall
proportion of VTEC-positive units in cats, dogs and solipeds was 4.6% and VTEC O157 was not
reported in these positive units (Figure 26 and Table 2014_VTECOTHERANIMAL).
However, when the whole set of submitted data was used for serogroup analyses, VTEC O157 (n=2)
and O26 (n=1) were reported in dogs sampled in Germany and Slovakia, and VTEC O26 (n=2) and
VTEC O103 (n=2) in horses in Germany. Moreover, VTEC strains belonging to serogroups O103
(n=3), O157 (n=1), O26 (n=1), O111 (n=1) and O145 (n=1) were reported in wild deer in Italy.
VTEC serogroups in animals
In total, nine MS provided information on the serogroups of 303 VTEC isolates obtained from animal
samples. Most isolates where from cattle (n=172) and goats and sheep (n=102), where multiple
isolates were obtained from several samples.
Overall, the most frequently reported serogroup was VTEC O157 with 130 isolates (42.9%). Table 17
describes the non-O157 VTEC serogroups detected by four MS in the different animal categories.
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Table 17: Frequency distribution of non-O157 VTEC serogroups in animals in Member States, 2014
Animal
species
No of VTEC
isolates with
serogroup
reported
VTEC serogroups(a)
% of total VTEC isolates with serogroup reported in the specific animal category
O26
O103 O145 O111 O146 O91 O76 O128
Cattle
60
23.3
Goat and
sheep
92
3.3
6
16.7
50.0
10
10.0
30.0
5
60.0
40.0
Other
ruminants(b)
Pigs(c)
Other
animals(d)
Totals
173
12.7
6.7
1.7
5.0
14.1
6.9
16.7
3.3
O113
10.0
7.6
2.2
O121
1.7
5.4
O5
O174 O166
3.3
8.3
17.4
3.3
O87
O116
5.0
10.9
8.7
O6 Other serogroups (list)
1.7
33.3
3.3
20.7
16.7
10.0
1.2
(O18, O22, O79,
O109, O177,
O178, O179,
O181, O183)
(O75, O81, O82,
O104, O112,
O148, O149,
O176)
1.2
7.5
3.5
4.0
1.2
6.4
0.6
10.4
4.6
5.8
4.6
1.7
2.3
50.0
(O139, O141)
25.4
(O22, O75, O79,
O81, O82, O104,
O109, O112,
O139, O141,
O148, O149,
O176, O177,
O178, O179,
O181, O183,
O185)
Note: data originating from any analytical method are included.
(a): Non-O157 VTEC serogroups are listed according to their public health relevance as a cause of human infections in the EU (EFSA BIOHAZ Panel, 2013a);
(b): Includes only deer;
(c): Includes also wild boar;
(d): Includes birds, cats, dogs, fowl, solipeds and turkeys.
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After VTEC O157, the second most reported serogroup was VTEC O26 (7.3% of the 303 strains with
an identified serogroup), which was mainly detected in cattle but was present in all the animal
species. Other VTEC serogroups that are among those most commonly found as a cause of human
infections in the EU/EEA in 2014 and in the preceding years (ECDC, 2013) were O146 (4.3% of the
strains with an identified serogroup), only detected in sheep and goats, O103 (3.9%), isolated from all
the species except sheep and goats, and O113 (3.6%) and O91 (2.0%), found in cattle as well as in
sheep and goats. A few isolates belonging to the ‘top 5’ serogroups O111 (0.7%), and O145 (0.7%)
were obtained from cattle, other ruminants, and pigs.
Other reported serogroups were VTEC O5 (5.9%), frequently found in sheep and goats, VTEC O6,
O22, O63, O75, O76, O79, O81, O82, O104, O109, O111, O112, O116, O121, O125, O128, O139,
O141, O145, O148, O149, O176, O177, O178, O179, O181, O183, and O185. It is important to note
that the O104 strain reported by Austria in sheep was not of serotype O104:H4 but was typed as
O104:H7 (with genotype vtx1+, vtx2-, eae-).
Trends in the reporting of VTEC serogroups in animals
The proportion of animal samples positive for the VTEC serogroups most frequently reported by MS
and non-MS between 2011 and 2014 was analysed and is reported in Figure 27. More details on the
serogroup reporting trends are provided in Table 2014_VTECGROUPTRENDANIM. Due to the low
number of positive samples for each animal category, data were presented aggregated for the total
animal samples tested. Similar to the food data, an increasing trend of reporting was observed for
VTEC O26 in animals.
Figure 27: Proportion of animal samples positive for the most frequent VTEC serogroups (per
1,000 samples tested), reported by Member States and non-Member States, 2011–2014
Atlas of the VTEC serogroups reported in food and animals in the EU in 2014
The data on the VTEC serogroups provided by MS in 2014 were used to generate an ‘atlas’ of the
presence/absence of the VTEC serogroups in the different food and animal categories in the EU
(Figure 27) and in the different EU MS (Figure VTECATLASGROUPCOUNTRY). However the differences
in the sampling strategies and analytical methods applied by reporting countries do not allow
confirmation of the existence of specific trends in the geographical distribution of VTEC serogroups.
The trends in the reporting of the different VTEC serogroups in food and animals samples in the EU
between 2011 and 2014 are reported in Figure 2014_VTECGROUPATLASTREND.
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Total
Other animals (i)
Pigs (h)
Other ruminants (g)
O21
1
O22
3
15
O26
14
2
O43
3
O55
2
O74
O22
1
O26
5
1
O43
5
4
2
2
1
O74
1
1
O75
O76
3
2
5
5526
O15
3
179
1
3
554
913
1
O21
144
3736
O15
1
1786
21671
O8
1
1023
1975
2
901
4
1
O55
6097
18
3
242
16
1
41
2
O6
192
O5
1
1
O6
O8
2885
VTEC serogroups
No of samples
examined
1
O5
1599
VTEC serogroups
4930
No of samples examined
Cattle
Animal species
Sheep and goats
Total
Other food
(f)
Seeds
Raw milk(e)
Fruit and vegetable
Milk and dairy products (d)
(a)
(a) (c)
Mixed meat
Pig meat (a)
Other meat
Other ruminants meat (a) (b)
Ovine and goat meat (a)
Food catogory
Bovine meat (a)
EU summary report on zoonoses, zoonotic agents and food-borne outbreaks 2014
3
3
1
1
3
22
O75
3
3
O76
7
7
O79
O79
O81
O81
2
2
O82
O82
1
1
1
O87
8
8
2
O88
O87
1
O88
O91
2
O103
6
1
1
2
3
1
3
2
7
O91
3
12
O103
4
O104
O104
O109
O109
O111
1
3
1
O116
2
1
2
11
O113
6
2
3
O121
1
O128
O128
O139
1
1
12
1
1
2
1
1
5
11
3
1
2
2
2
O130
1
O139
1
1
O141
4
4
O141
O142
2
1
1
O116
2
3
1
O121
O130
6
3
1
O112
8
3
O111
O112
O113
3
1
O142
5
O145
8
O146
13
13
O148
O148
1
1
O149
O149
1
1
O145
3
O146
1
2
2
4
1
O153
O157
1
25
3
8
1
2
6
O176
1
1
1
1
2
O153
20 58
O166
O174
1
O157
## 10
O166
10
10
3
8
2
2
8
O174
1
O176
5
1
5
2
##
O177
O177
1
1
O178
O178
3
3
O179
O179
1
1
O181
O181
2
2
O182
O183
1
1
1
O182
1
O183
2
2
O185
1
1
O185
Presence (red) and absence (white) of VTEC serogroups in foods (on the left) and animals (on the right); (a): the different
meat categories presented in this table include all type of meat (not only fresh); (b): includes meat from deer; (c): includes
meat from other animals other than ruminants); (d): includes any type of dairy product, cheese and milk other than raw milk;
(e): includes raw milk from different species, but the majority of tested samples and all the positive samples were from cows;
(f): the majority of samples were sprouted seeds, but it also includes dry seeds; (g): includes only deer; (h): includes also wild
boar; (i): includes birds, cats, dogs, fowl, solipeds and turkeys.
Figure 28: Presence (red boxes) and absence of VTEC serogroups in foods (left) and animals (right),
sampled in the EU in 2014
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3.4.3.
Discussion
The EU notification rate for human VTEC infections has increased significantly over the last 7-year
period. Part of the increase may be explained by increased general awareness of VTEC following the
largest ever reported VTEC outbreak in 2011. Other contributing factors are probably the increasing
number of laboratories testing for serogroups other than O157 and the shift in diagnostic methods
with PCR being more commonly used for detection of VTEC in stool samples.
Of the VTEC cases with known hospitalisation status, more than one-third were hospitalised. Some
countries reported very high proportions of hospitalised cases, but had notification rates that were
among the lowest, indicating that the surveillance systems in these countries primarily capture the
most severe cases. As in previous years, the most commonly reported serogroup was O157, followed
by O26, and, less commonly, O103, O145, O91, O146 and O111. In addition, a high proportion of
non-typable VTEC and VTEC strains that lack the O-chains in the lipopolysaccharide (O-rough) were
reported. Serogroups O157 and O26 were also the most common among HUS cases.
In 2014, data on the presence of VTEC in food and animals were reported by 21 MS and one non-MS.
The lack of data from seven MS represents a critical point, as VTEC are considered among the
pathogens with the highest priority, as laid down in Directive (EC) 99/2003/EC. Most reporting
countries (15 MS and one non-MS) provided data obtained by applying the analytical methods
indicated by the EFSA technical specifications for the monitoring and reporting of VTEC (EFSA, 2009a).
However, for 14% of the food samples and 46.5% of the animal samples tested the method used was
not reported and so remained not classified. The number of samples tested by the reporting countries
for each food and animal category was highly variable, and such an unequal distribution may have
introduced selection bias in the estimates of VTEC prevalence or VTEC serogroup distribution.
Overall, the presence of VTEC was reported in 1.6% of the food samples and in 6.2% of the animal
samples tested. The highest proportion of VTEC-positive samples was reported for meat from wild
ruminants, but the figure referred to a limited number of samples reported by two MS. Positive
samples were also reported for ovine and goat meat, milk and fresh bovine meat. VTEC were reported
in about 1% of cheese samples, in particular those made from sheep and goat’s milk, while
contamination was rare in RTE food of vegetal origin. In particular, no VTEC-positive samples were
reported for spices and herbs nor for sprouted seeds, the sole food category for which microbiological
criteria for VTEC have been established in the EU.
Among animals, the reported proportion of VTEC-positive samples was higher for pigs (14%) and
sheep and goats (11%) than for cattle (4%). However the testing results were influenced by MSspecific results, as most data on pigs were reported by a single MS, and no details were provided on
the method used and the characteristics of the VTEC strains isolated. The highest proportion of VTEC
O157-positive samples was reported for cattle.
A wide range of VTEC serogroups was reported, with VTEC O157 being the most frequent in both
food and animal samples. However, it should be noted that many of the MS’s surveillance and
monitoring programmes are traditionally focused on this serotype and this may have introduced a bias
in the estimates of the frequency of VTEC serogroups. In this respect, it is interesting to note that
serogroups O26 and O103 were reported more frequently than O157 in the food samples that were
tested using the ISO/TS 13136:2012 standard method, which is able to detect any VTEC regardless of
its serotype.
Similar to the data referring to human infections, the VTEC serogroup O26 was the second most
reported serogroup in both food and animal samples, with an increasing trend between 2011 and
2014. It is also interesting to note that the VTEC serogroups most frequently found in food samples
(O157, O26, O103, O113, O146, O91, O145) are those most commonly reported in human infections
in the EU/EEA in 2014 and also in the preceding years (ECDC, 2013; EFSA BIOHAZ Panel, 2013a).
3.5.
Yersinia
The Appendix contains hyperlinks to all data summarised for the production of this section, for
humans, food, animals and food-borne outbreaks. It also includes hyperlinks to Yersinia summary
tables and figures that were not included in this section because they did not trigger any marked
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observation. The summarised data are presented in downloadable Excel and PDF files, and are listed
by subject.
3.5.1.
Yersiniosis in humans
A total of 6,625 confirmed cases of yersiniosis were reported in the EU in 2014 by 25 MS (Table 18).
The EU notification rate was 1.92 cases per 100,000 population, which was comparable with 2013.
The highest country-specific notification rates were observed in Finland and Denmark (10.62 and
7.71 cases per 100,000 population, respectively).
Most of the yersiniosis cases reported in the EU were infected within their own country (64.3%
domestic cases, 4.3% travel-associated and 31.4% of unknown origin). Sweden reported the highest
proportion of travel-associated cases; 23.4% – but 76.6% were of unknown origin. Among the
Swedish- travel associated cases, Spain and Italy were the most common probable countries of
infection; representing 16.4% and 7.3% of the cases respectively.
Table 18: Reported human cases of yersiniosis and notification rates in the EU/EEA, by country and
year, 2008–2014
Country
Austria
Belgium(b)
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
France(b)
Germany
Greece(c)
Hungary
Ireland
Italy(b)
Latvia
Lithuania
Luxembourg
Malta
Netherlands(c )
Poland
Portugal(c )
Romania
Slovakia
Slovenia
Spain(d)
Sweden
United Kingdom
EU Total
Iceland
Norway
(a):
(b):
(c):
(d):
National
coverage(a)
Y
N
Y
Y
Y
Y
Y
Y
Y
N
Y
–
Y
Y
N
Y
Y
Y
Y
–
Y
–
Y
Y
Y
N
Y
Y
–
Y
Y
2014
2013
2012
2011
2010
Data
Total Confirmed
Confirmed
Confirmed
Confirmed
Confirmed
format(a) cases cases &rates cases &rates cases &rates cases &rates cases &rates
Cases Rate Cases Rate Cases Rate Cases Rate Cases Rate
C
107
107
1.26
158
1.87
130
1.55
119
1.42
84
1.00
C
309
309
–
350
–
256
–
214
–
216
–
A
20
20
0.28
22
0.30
11
0.15
4
0.05
5
0.07
A
20
20
0.47
–
–
–
–
–
–
–
–
C
0
0
0.00
1
0.12
0
0.00
0
0.00
0
0.00
C
557
557
5.30
526
5.00
611
5.82
460
4.39
447
4.27
C
434
434
7.71
345
6.16
291
5.22
225
4.05
193
3.49
C
62
62
4.71
72
5.45
47
3.55
69
5.19
58
4.35
C
579
579 10.62 549 10.12 565 10.46 554 10.31 522
9.75
A
574
574
–
430
–
314
–
294
–
238
–
C
2,485 2,470 3.06 2,579 3.15 2,690 3.29 3,381 4.15 3,346 4.10
–
–
–
–
–
–
–
–
–
–
–
–
C
43
43
0.44
62
0.63
53
0.54
93
0.95
87
0.88
C
5
5
0.11
4
0.09
2
0.04
6
0.13
3
0.07
C
18
18
–
25
–
14
–
15
–
15
–
C
28
28
1.40
25
1.24
28
1.37
28
1.35
23
1.09
C
197
197
6.69
262
8.82
276
9.19
370 12.12 428 13.62
C
19
19
3.46
15
2.79
–
–
–
–
–
–
C
0
0
0.00
0
0.00
0
0.00
0
0.00
1
0.24
–
–
–
–
–
–
–
–
–
–
–
–
C
215
215
0.57
199
0.52
201
0.52
235
0.61
205
0.54
–
–
–
–
–
–
–
–
–
–
–
–
C
32
32
0.16
43
0.22
26
0.13
47
0.24
27
0.14
C
172
172
3.18
164
3.03
181
3.35
166
3.08
166
3.08
C
19
19
0.92
26
1.26
22
1.07
16
0.78
16
0.78
C
436
436
3.13
243
1.75
221
1.91
264
2.28
325
2.81
C
248
248
2.57
313
3.28
303
3.20
350
3.72
281
3.01
C
61
61
0.10
59
0.09
54
0.09
59
0.09
55
0.09
–
C
C
6,640
3
211
6,625
3
211
1.92
0.92
4.13
6,472
0
55
1.92
0.00
1.09
6,339
–
43
1.96
–
0.86
6,969
–
60
2.22
–
1.22
6,741
–
52
2.16
–
1.07
Y: yes; N: no; A: aggregated data; C: case-based data; –: no report.
Sentinel surveillance; no information on estimated coverage thus notification rate cannot be estimated.
No surveillance system.
Sentinel system; notification rates calculated with an estimated population coverage of 30% in 2013–2014 and 25% in
2009–2012.
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There was no clear seasonality, but more cases were normally reported between May and September
compared with other months. There was a statistically significant (p < 0.01) decreasing 7-year trend
in 2008–2014 in the EU/EEA (Figure 29). All MS for which data was available for the whole period
reported stable or declining trends from 2008 to 2014.
Source: Austria, Belgium, Cyprus, Czech Republic, Denmark, Estonia, Finland, Germany, Hungary, Ireland, Latvia, Lithuania,
Malta, Norway, Poland, Slovakia, Slovenia, Spain, Sweden and United Kingdom. Bulgaria, Croatia, France, Iceland, Italy,
Luxembourg and Romania did not report data to the level of detail required for the analysis. Greece, the Netherlands and
Portugal do not have any formal surveillance system for the disease.
Figure 29: Trend in reported confirmed human cases of yersiniosis in the EU/EEA, by month of
reporting, 2008–2014
Species information was reported by 21 countries for 5,775 (87.2%) of the confirmed yersiniosis cases
in the EU/EEA in 2014. Y. enterocolitica was the most common species reported in all countries,
having been isolated from 97.7% of the confirmed cases at EU/EEA level. Information about the
Y. enterocolitica serotypes was provided for 2,593 (39.1%) confirmed cases. The most common
serotype was O:3 (83.2%), O:9 (14.0%) and O: 5,27 (1.7%). Biotype information was provided by
only three countries (Austria, Lithuania and Poland) for 178 (2.7%) confirmed cases. The most
commonly reported biotypes were biotype 4 (serotype O:3) and biotype 2 (serotype O:9), 87.6% and
8.4% respectively.
Y. enterocolitica was followed by Y. pseudotuberculosis, which represented 1.8% of isolates. Finland
and the United Kingdom reported the highest proportion of Y. pseudotuberculosis, representing
13.0% and 23.2% of all confirmed yersiniosis cases, respectively. Finland reported 71.4% of all
confirmed cases of Y. pseudotuberculosis at the EU/EEA in 2014; attributed to a Y. pseudotuberculosis
O:1 outbreak in February-April which involved 55 confirmed cases (THL, 2015).
Twelve MS provided information on hospitalisation for some or all of their cases, accounting for only
15.2% of confirmed yersiniosis cases in the EU, which was similar to the previous year. Among these,
almost half (44.0%) were hospitalised in 2014. The highest hospitalisation rates (60.0–85.7% of
cases) were reported in Ireland, Latvia, Poland and Romania. These countries also reported among
the lowest notification rates of yersiniosis, which indicates that the surveillance systems in these
countries primarily capture the more severe cases. The EU case-fatality rate was 0.13%; five fatal
cases all due to Y. enterocolitica were reported in 2014 among the 3,861 confirmed yersiniosis cases
for which this information was reported (58.3% of all confirmed cases). As for most diseases,
however, the case-fatality rate should be interpreted with caution, as the final outcome of cases is
often unknown after the initial sampling.
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3.5.2.
Yersinia in food and animals
Comparability of data
At present there is no harmonised surveillance of Yersinia in the EU and, when interpreting the data
on Yersinia in foods and animals, it is important to note that data from different investigations are not
necessarily directly comparable owing to differences in sampling strategies and testing methods. A
scientific report of EFSA suggested technical specifications for the harmonised monitoring and
reporting of Y. enterocolitica in slaughter pigs in the EU (EFSA, 2009b). No MS provided detailed
information on the microbiological test used; Germany reported using microbiological standard test.
Only results for the most important foods and animal species that might serve as a source for human
infection in the EU are presented.
Food
In 2014, four MS provided information on Yersinia from 45 investigations on food samples from meat
(mainly pig meat), milk and other dairy products. In 16 investigations (35.6%) more than 10 samples
were analysed. Yersinia was detected in 13 of these investigations ranging from 1.18% to 58.8% of
samples, and in seven investigations Y. enterocolitica was reported. Additionally, MS provided data on
vegetables and other types of food and prepared dishes (Table YERSOVERVIEW). In 2014, fewer MS
reported data on Yersinia in foods than in 2013 (nine MS and one non-MS).
Four MS reported data from 24 investigations of pig meat and products thereof (nine including more
than 10 samples). The majority of the investigations were reported by Italy and Germany (70.8%)
(Table 2014_YERSPIGMEAT). Three MS reported findings of Yersinia in nine investigations ranging
from 1.18% to 58.8% of samples; five of the investigations reported the positive findings as
Y. enterocolitica. Sampling was mainly carried out as part of surveillance programmes or surveys.
Three MS reported results from nine investigations on Yersinia in bovine meat and products thereof
(Table 2014_YERSBOVINEMEAT). Three investigations included more than 10 samples and two of
these had 31.3% and 36.7% positive findings of Yersinia. There were no Y. enterocolitica positives.
The investigations with < 10 samples had no positive findings.
Two MS reported data from 15 investigations Yersinia in milk and dairy products; 12 investigations
had < 10 samples. One MS detected Yersinia (more specifically Y. enterocolitica) in two investigations
(one positive sample in each) of raw cow’s milk (Table 2014_YERSMILKDAIRY).
Only Spain reported data on ovine meat at retail in 2014 in one investigation and found five positives
(all Y. enterocolitica) out of 16 samples tested. (Table 2014_YERSOVINEMEAT).
For 78 isolates from food, information about biotype and/or serotype was provided. Two biotypes
were reported; biotype 1A that was the most common (68 isolates), and biotype 4 (2 isolates). The
serogroup was only reported for a few isolates; serogroup O:3 and O:5 (four isolates each) and
serogroup O:8 and O:9 (one isolate each).
Animals
In 2014, six MS provided data from 48 investigations in animals for Yersinia, which are fewer
reporting MS compared to 2013 when 12 MS and one non-MS provided animal data for Yersinia.
Fifteen investigations had < 10 samples. Germany and Italy reported 85% of all investigations. Data
were mostly reported from domestic animals.
Three MS provided information from four investigations on Yersinia in pigs, and two MS reported
positive findings of Yersinia in three investigations (1.6%, 2.0% and 30.5%). Most findings were
reported as Y. enterocolitica (0.8%, 1.5% and 30.5%, respectively) (Table 2014_YERSPIGS).
Three MS reported data from 25 investigations in domestic animals other than pigs (cattle, G. gallus,
goats, sheep, horses and turkeys). Germany reported 68.0% of the investigations. Six investigations
had < 10 samples. Twelve investigations had positive findings of Yersinia ranging from 0.1% to
25.6%. Three MS reported on nine investigations of cattle and six investigations had positive findings
ranging from 0.1% to 25.6%. In four investigations, Y. enterocolitica was detected, ranging from
0.6% to 25.6% (Table 2014_YERSDOMAN). Three MS reported information on Yersinia in sheep and
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goats from nine investigations, and six of these had positive findings of Yersinia, ranging from 0.3%
to 6.7% of samples. In four investigations Y. enterocolitica were detected ranging from 0.8% to 4.3%
of samples. The seven investigations in G. gallus, horses and turkeys did not have positive findings.
Four MSs reported data from 19 investigations in other animal species, eight having less than
10 samples. Y. enterocolitica was found in cats, dogs, deer, foxes, hares and wild boar.
For 217 isolates from animals, information about biotype and/or serotype was provided. Two biotypes
were reported – biotype 1A was the most common reported (12 isolates from hunted wild boar).
Biotype 1B was reported for three isolates from wild boar and deer. As in 2013, serotype O:9 was the
most common reported, followed by serotype O:3. Serotypes O:9 and O:3 were mainly reported from
cattle – for 112 out of 122 and 60 out of 71 isolates respectively. Serotype O:9 was also reported
from goats, pigs, deer, foxes, and hunted wild boar and serotype O:3 was reported from dogs, goats,
pigs, and foxes. Serotype O:8 was reported from deer, foxes and hunted wild boar and serotype O:5
from hunted wild boar, hares, foxes and deer.
3.5.3.
Discussion
Yersiniosis was the third most commonly reported zoonosis in the EU in 2014, despite the significantly
decreasing trend between 2008 and 2014. The highest notification rates were reported in MS in northeastern Europe. Y. enterocolitica was the dominating species in sporadic infections, whereas most
Y. pseudotuberculosis cases were linked to an outbreak. The most common serotypes in human cases
were serotype O:3 and O:9. The proportion of hospitalisations among reported yersiniosis cases for
which such data are provided was fairly high, almost half of the yersiniosis cases were hospitalised. An
explanation for this could be that in some countries, the surveillance is focused on severe cases,
especially as the countries with the highest hospitalisation rate reported the lowest notification rate for
yersiniosis.
Only very few MS report data from surveillance of Yersinia in food and animals. In 2014, two MS
reported positive findings for Y. enterocolitica in pig meat and products thereof, and two MS reported
positive findings in pigs. Positive findings were also reported in other foods (bovine meat, ovine meat
and raw cow’s milk) and in other animals (cattle, goats, sheep, foxes, hunted wild boar, dogs, deer,
hares, cats).
According to the Scientific Opinion published by the BIOHAZ Panel in 2007 (EFSA BIOHAZ Panel,
2007c), it is well-documented that pigs can harbour human pathogenic Y. enterocolitica, especially in
the tonsils, with a very high prevalence, especially biotype 4 (serotype O:3). Reservoirs other than
pigs may also play a role in the epidemiology of human yersiniosis. Evidence suggests that ruminants
(e.g. cattle) may play a role as reservoirs for biotype 2 (serotype O:9). The opinion further concluded
that the majority of human pathogenic Y. enterocolitica strains in Europe belong to biotype 4
(serotype O:3), followed by biotype 2 (serotype O:9). Biotypes 1B, 3 and 5 are also pathogenic in
humans, whereas biotype 1A is considered to be largely non-pathogenic. Therefore, it is important
that information is provided on the biotype of each Y. enterocolitica isolate in order to assess its public
health significance. It is recommended that biotyping, and preferably also serotyping, is increased in
the future. Only a small amount of information is provided on serotypes in the reporting system for
Yersinia. Hopefully, an increased focus on the reported Yersinia data and more sensitive methods will
improve the detailed information on Yersinia in the future.
3.6.
Tuberculosis due to Mycobacterium bovis
The Appendix contains hyperlinks to all data summarised for the production of this section, for
humans and animals. It also includes hyperlinks to M. bovis summary tables and figures that were not
included in this section because they did not trigger any marked observations. The summarised data
are presented in downloadable Excel and PDF files, and are listed by subject.
3.6.1.
Mycobacterium bovis in humans
In 2014, 145 confirmed cases of tuberculosis due to M. bovis in humans were reported in nine EU MS
(Table 19). The EU notification rate was 0.03 cases per 100,000 population and this did not change
compared with 2013. Most cases were reported in Germany, the United Kingdom and Spain, while the
highest notification rate (0.09 cases per 100,000 population) was observed in Belgium.
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Table 19: Reported human cases of tuberculosis due to M. bovis and notification rates per
100,000 population in the EU/EEA, by country and year, 2010–2014
2014
Country
Austria (OTF(b))
Belgium (OTF)
Bulgaria
Croatia
Cyprus
Czech Republic (OTF)
Denmark (OTF)
Estonia (OTF)
Finland (OTF)
France (OTF)(c)
Germany (OTF)
Greece
Hungary (OTF)
Ireland
Italy(d),(e)
Latvia (OTF)
Lithuania
Luxembourg (OTF)
Malta
Netherlands (OTF)
Poland (OTF)
Portugal
Romania
Slovakia (OTF)
Slovenia (OTF)
Spain
Sweden (OTF)
United Kingdom(f)
2013
2012
2011
2010
National
Data
Confirmed
Confirmed
Confirmed Confirmed
Confirmed
coverage(a) format(a) cases &rates cases &rates cases &rates cases &rates cases & rates
Cases Rate Cases Rate Cases Rate Cases Rate
Cases Rate
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
C
C
C
C
C
C
C
C
C
C
C
C
C
C
1
10
0
0
0
0
1
0
0
0.01
0.09
0.00
0.00
0.00
0.00
0.02
0.00
0.00
–
–
–
–
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
C
C
C
C
C
C
C
C
C
C
C
C
C
0
0
0
0
6
0
0
0
0
0
34
4
39
EU Total
–
–
Iceland(g)
Norway (OTF)
Switzerland (OTF)(h)
Y
Y
Y
C
C
C
1
10
0
0
0
0
0
0
1
0.01
0.09
0.00
0.00
0.00
0.00
0.00
0.00
0.02
1
4
0
0.01
0.04
0.00
0
5
2
0.00
0.05
0.03
4
9
0
0.05
0.08
0.00
–
–
–
–
0.00
0.00
0.00
0.00
0.00
0
4
1
0
0
-–
0.00
0.04
0.02
0.00
0.00
–
0
0
0
0
0
0
0
2
0
0
0.00
0.00
0.04
0.00
0.00
–
–
–
–
–
–
–
–
–
–
47
0.06
48
0.06
50
0.06
47
0.06
48
0.06
–
–
–
–
–
–
–
–
–
–
0
3
0.00
0.07
0.00
0.00
0.00
0.00
0.04
0.00
0.00
0.00
0.00
0.00
0.07
0.04
0.06
0
6
6
0
0
0
0
9
0
0
0
0
0
30
0
30
0.00
0.13
0.01
0.00
0.00
0.00
0.00
0.05
0.00
0.00
0.00
0.00
0.00
0.06
0.00
0.05
0
4
9
0
0
0
0
8
0
0
0
0
0
14
5
41
0.00
0.09
0.02
0.00
0.00
0.00
0.00
0.05
0.00
0.00
0.00
0.00
0.00
0.03
0.05
0.06
0
6
15
0
0
0
0
11
0
0
1
0
0
23
2
40
0.00
0.13
0.03
0.00
0.00
0.00
0.00
0.07
0.00
0.00
0.00
0.00
0.00
0.05
0.02
0.06
0
12
15
0
0
0
0
13
0
0
0
0
0
34
2
37
0.00
0.26
0.03
0.00
0.00
0.00
0.00
0.08
0.00
0.00
0.00
0.00
0.00
0.07
0.02
0.06
145
0.03
141
0.03
136
0.03
157
0.03
176
0.04
0
4
2
0.00
0.08
0.02
0
0
2
0.00
0.00
0.02
0
2
5
0.00
0.04
0.06
0
2
13
0.00
0.04
0.17
0
2
6
0.00
0.04
0.08
(a):
(b):
(c):
(d):
(e):
Y: yes; N: no; A: aggregated data; C: case-based data; –: no report.
OTF: officially tuberculosis free.
Not reporting species of the M. tuberculosis –complex.
In Italy, six regions and 15 provinces are OTF.
36 cases, 80% of all reported human M. bovis cases from Italy to TESSy in 2010–2013 were without laboratory results
but were still included in the table since reported as M. bovis.
(f): In the United Kingdom, Scotland is OTF.
(g): In Iceland, that has no special agreement concerning animal health (status) with the EU, the last outbreak of bovine
tuberculosis was in 1959.
(h): Switzerland provided data directly to EFSA. The human data for Switzerland also include the ones from Liechtenstein
(OTF).
As tuberculosis is a chronic disease with a long incubation period, it is not possible to assess travelassociated cases in the same way as diseases with acute onset. Instead, the distinction is made
between individuals with the disease born in the reporting country (native infection) and those moving
there at a later stage (foreign infection). In a few cases, the distinction is also made based on
nationality of the cases. On average, 58.6% of the cases reported in 2014 were native to the
reporting country, 37.9% were foreign and 3.4% were of unknown origin. Among cases with known
origin, there was a larger proportion (68.9%) of native cases in countries not free of bovine
tuberculosis than in countries that were officially tuberculosis-free (51.5%).
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3.6.2.
Tuberculosis due to Mycobacterium bovis in cattle
The officially tuberculosis free status (OTF) in 2014 is presented in Figure 30 and in Figure 31. In
2014, Hungary acquired OTF status, therefore was added to the list of OTF countries composed in
2014 by Austria, Belgium, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary,
five regions and 17 provinces in Italy, Latvia, Luxembourg, the Netherlands, all administrative regions
within the superior administrative unit of the Algarve in Portugal, Poland, Slovakia, Slovenia, Sweden,
Scotland in the United Kingdom, Norway and Switzerland, in accordance with EU legislation (Decision
2014/91/EU36). Liechtenstein has the same status (OTF) as Switzerland. In Iceland, which has no
special agreement concerning animal health status with the EU, the last outbreak of bovine
tuberculosis was in 1959.
Bulgaria, Croatia, Cyprus, Greece, Ireland, Italy, Lithuania, Malta, Portugal, Romania, Spain and the
United Kingdom have not yet achieved the country-level OTF status in 2014.
Figure 30:
36
Status of countries regarding bovine tuberculosis due to M. bovis, 2014
Commission implementing Decision 2014/91/EU of 14 February 2014 amending Annex II to Decision 93/52/EEC as regards
the recognition of certain regions of Italy and Spain as officially free of brucellosis ( B. melitensis) and amending Annexes I, II
and III to Decision 2003/467/EC as regards the declaration of Hungary as officially tuberculosis-free, Romania and certain
regions of Italy as officially brucellosis-free, and certain regions of Italy as officially enzootic-bovine-leukosis-free. OJ 46,
18.2.2014, pp. 12–17.
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Proportions of M. bovis-positive cattle herds are displayed only if they are above the legal threshold of 0.1%. Proportions relate
to the non-OTF regions.
Figure 31: Proportion of existing cattle herds infected with or positive for M. bovis, 2014
2
Proportion of herds (%)
1.8
1.6
1.4
1.2
1
EU OTF regions
0.8
EU non-OTF regions
0.6
EU all
0.4
0.2
0
2009
2010
2011
2012
2013
2014
Year
Data reported by countries that are MS during the current year are included. The classification of the OTF and non-OTF status
of a region is based on Figure 30.
Figure 32: Proportion of existing cattle herds infected with or positive for M. bovis, 2009–2014
In the 16 OTF MS and in the OTF regions of non-OTF MS, annual surveillance programmes are carried
out to confirm freedom from bovine tuberculosis. Luxembourg did not report any data for 2014.
Bovine tuberculosis due to M. bovis was not detected in cattle herds in 10 of the OTF MS, nor in
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Iceland, Norway or Switzerland. However, in total, out of the 1,136,190 existing cattle herds in all OTF
regions of the EU, 129 herds were infected with M. bovis in 2014: France (107 herds), Germany
(3 herds), Hungary (newly declared OTF; 3 herds out of 16,419), Italy (1), the Netherlands (4 herds),
Poland (9 herds) and Scotland in the United Kingdom (2). In the EU OTF regions, the proportion of
herds infected with M. bovis was 0.011% in 2014, which is less than in 2013 (0.015%).
All 13 MS containing a non-OTF region have a national eradication programme for bovine tuberculosis
in place. In 2013, the six MS Croatia, Ireland, Italy, Portugal, Spain and the United Kingdom received
EU co-financing for their eradication programme and they reported the number of positive herds
(Table 2014_DSTUBCOF), whereas MS not receiving EU co-financing reported the number of infected
herds (Table 2014_DSTUBNONCOF).
Of the non-cofinanced MS, Cyprus and Malta did not report any infected herds, whereas infected
herds were reported by; Bulgaria (10 herds) Greece (203 herds) and Romania (36 herds). Lithuania
did not report any data. In the co-financed MS, positive herds were reported by Croatia (53 herds),
Ireland (6,623 herds), Italy (380 herds), Portugal (108 herds), Spain (1,867 herds) and the United
Kingdom (10,172 herds). In total, out of the 1,210,527 existing cattle herds in the EU non-OTF
regions, 19,452 herds (1.6%) were infected with or positive for M. bovis in 2014, which is higher than
the 1.3% reported in 2013. Overall, in the EU OTF and non-OTF regions (‘EU all’ in Figure 32), the
proportion of herds infected with M. bovis was 0.8% in 2014, compared to 0.7% in 2013.
In 2014, 14 MS and two non-MS investigated animal species other than cattle for M. bovis. M. bovis
was reported in 816 animals other than cattle: alpacas (34), badgers (218), bison (3), cat (24), deer
(106), dog (1), goat (29), guinea pig (1), lamas (3), pet animal (1), pig (153), sheep (1), wild boar
(219), wild animal (1) and zoo animal (2) (Table 2014_TUBOVERVIEW). Seventeen MS and two nonMS investigated animals for Mycobacterium species other than M. bovis. M. tuberculosis was reported
in two pigs and 38 cattle and M. caprae was reported in 126 animals by four MS (Austria, Germany,
Hungary and Spain): cattle (68), deer (10), goats (6), sheep (1) and wild boar (41)
(Table 2014_TUBALL).
3.6.3.
Discussion
Tuberculosis due to M. bovis is a rare infection in humans in the EU, with 145 confirmed human cases
reported in 2014. The EU notification rate has been stable between 2011 and 2014. There was no
clear association between a country’s status as OTF and notification rates in humans. This could be
due to many of the cases in both OTF and non-OTF countries having immigrated to the country, thus
the infection might have been acquired in the country of origin. Cases native to the country could also
have been infected before the disease was eradicated from the animal population, as it may take
years before disease symptoms develop.
The overall proportion of cattle herds infected with, or positive for, M. bovis remained very low in the
EU (0.8% of the existing herds in the EU), although there is a heterogeneous distribution of M. bovis
in Europe. The prevalence ranges from absence of infected/positive animals in many OTF regions to a
prevalence of 11.6% in the non-OTF regions of the United Kingdom (England, Northern-Ireland and
Wales).
In the EU OTF regions, the proportion of herds infected with M. bovis decreased further to 0.011% in
2014. This can be partly explained by the inclusion of Hungary, in 2014, in the list of OTF MS.
Hungary had 16,419 cattle herds and reported 3 infected ones in 2014. Also, in OTF countries, the
number of herds infected with M. bovis reported was on average lower than in 2013.
In the non-OTF regions, in 2013, the reported number of herds positive for M. bovis was, for most
MS, similar or lower than in 2014. However, an increase was noteworthy in Spain (1,526 in 2013 and
1,867 in 2014), in Ireland (4,640 in 2013 and 6,623 in 2014) while in the United Kingdom a decrease
was reported (10,956 in 2013 to 10,172 in 2014). Overall, the reported proportion of herds positive
for M. bovis in the non-OTF regions has slowly increased during the last years. In part this is due to
regions and MS obtaining the OTF status over these years thus lowering the number of herds
remaining in non-OTF regions and MS.
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3.7.
Brucella
The Appendix contains hyperlinks to all data summarised for the production of this section, for
humans, food, animals and food-borne outbreaks. It also includes hyperlinks to Brucella summary
tables and figures that were not included in this section because they did not trigger any marked
observations. The summarised data are presented in downloadable Excel and PDF files, and are listed
by subject.
3.7.1.
Brucellosis in humans
In 2014, 27 MS, Iceland and Norway provided information on brucellosis in humans. In total, 365
cases, of which 347 confirmed, were reported in the EU in 2014 with a notification rate of 0.08 cases
per 100,000 population (Table 20). This was 20% lower than the notification rate in 2013, and the
reported number and rate of confirmed cases was the lowest since 2010 (Table 20). Ten MS (Croatia,
the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Luxembourg, Malta, Slovakia and Slovenia)
and Iceland reported no human cases.
Table 20: Reported human cases of brucellosis and notification rates per 100,000 in the EU/EEA, by
country and year, 2010–2014
Country
Austria
(OBF/ObmF)
Belgium
(OBF/ObmF)
Bulgaria
Cyprus
Croatia
Czech Republic
(OBF/ObmF)
Denmark(c)
(OBF/ObmF)
Estonia
(OBF/ObmF)
Finland
(OBF/ObmF)
France(d)(OBF)
Germany
(OBF/ObmF)
Greece
Hungary
(ObmF)
Ireland
(OBF/ObmF)
Italy(e)
Latvia
(OBF/ObmF)
Lithuania
(OBF/ObmF)
Luxembourg
(OBF/ObmF)
Malta
Netherlands
(OBF/ObmF)
Poland
(OBF/ObmF)
Portugal(f)
Romania
(OBF/ObmF)
Slovakia
(OBF/ObmF)
Slovenia
(OBF/ObmF)
2014
2013
2012
2011
2010
National
Data
Total
Confirmed
Confirmed
Confirmed
Confirmed
Confirmed
coverage(b) format(b) cases cases & rates cases &rates cases & rates cases & rates cases & rates
Cases Rate Cases Rate Cases Rate Cases Rate Cases Rate
Y
C
1
1
0.01
7
0.08
2
0.02
5
0.06
3
0.04
Y
A
1
1
0.01
0
0.00
4
0.04
5
0.05
0
0.00
Y
Y
Y
Y
A
C
C
C
2
1
0
0
2
1
0
0
0.03
0.02
0.00
0.00
0
0
0
0
0.00
0.00
0.00
0.00
1
0
0
0
0.01
0.00
0.00
0.00
2
–
0
0
0.03
–
0.00
0.00
2
–
0
1
0.03
–
0.00
0.01
–
–
–
–
–
–
–
–
–
–
–
–
–
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Y
C
1
1
0.02
0
0.00
1
0.02
0
0.00
0
0.00
Y
Y
C
C
16
47
14
45
0.02
0.06
19
26
0.03
0.03
28
28
0.04
0.03
21
24
0.03
0.03
20
22
0.03
0.03
Y
Y
C
C
135
0
135
0
1.24
0.00
159
0
1.44
0.00
123
0
1.11
0.00
98
0
0.88
0.00
97
0
0.87
0.00
Y
C
3
3
0.07
1
0.02
2
0.04
1
0.02
1
0.02
–
Y
–
C
8
0
8
0
–
0.00
137
1
0.23
0.05
184
0
0.31
0.00
166
0
0.28
0.00
171
0
0.29
0.00
Y
C
0
0
0.00
2
0.07
0
0.00
0
0.00
0
0.00
Y
C
0
0
0.00
0
0.00
0
0.00
1
0.20
1
0.20
Y
Y
C
C
0
1
0
1
0.00
0.01
1
5
0.24
0.03
0
3
0.00
0.02
0
1
0.00
0.01
0
6
0.00
0.04
Y
C
1
1
0.00
1
0.00
0
0.00
0
0.00
0
0.00
Y
Y
C
C
49
2
45
2
0.43
0.01
22
0
0.21
0.00
37
0
0.35
0.00
76
1
0.73
0.01
88
2
0.85
0.01
Y
C
0
0
0.00
1
0.02
1
0.02
0
0.00
1
0.02
Y
C
0
0
0.00
0
0.00
0
0.00
1
0.05
0
0.00
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Country
2014
2013
2012
2011
2010
National
Data
Total
Confirmed
Confirmed
Confirmed
Confirmed
Confirmed
coverage(b) format(b) cases cases & rates cases &rates cases & rates cases & rates cases & rates
Cases Rate Cases Rate Cases Rate Cases Rate Cases Rate
Y
C
70
60
0.13
87
0.19
62
0.13
43
0.09
78
0.17
Y
C
16
16
0.17
10
0.11
13
0.14
11
0.12
12
0.13
Spain(g)
Sweden
(OBF/ObmF)
United
Y
C
11
11
0.02
15
0.02
14
0.02
25
0.04
12
0.02
Kingdom(h)
(OBF/ObmF)
EU Total
–
–
365
347
0.08
494
0.10
503
0.10
481
0.10
517
0.11
Iceland(i)
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Norway
Y
C
2
2
0.04
2
0.04
4
0.08
2
0.04
2
0.04
(OBF/ObmF)
Switzerland
Y
C
3
3
0.04
4
0.05
3
0.04
8
0.10
5
0.06
(OBF/ObmF)(j)
(a): OBF/ObmF: officially brucellosis free/officially B. melitensis free in cattle or sheep/goat population.
(b): Y: yes; N: no; A: aggregated data; C: case-based data; –: no report.
(c): No surveillance system.
(d): In France, 64 departments are ObmF and no cases of brucellosis have been reported in small ruminants since 2003.
(e): In Italy, 12 regions are OBF and also 13 regions are ObmF.
(f): In Portugal, six islands of the Azores and the superior administrative unit of Algarve are OBF whereas all nine Azores
islands are ObmF.
(g): In Spain, two provinces of the Canary Islands, the Balearic Islands, Basque Country, Murcia and La Rioja are OBF; and
two provinces of the Canary Islands, Asturias, Cantabria, Castile and Leon, Galicia, Basque Country, Navarre and the
Balearic Islands are ObmF.
(h): In the United Kingdom, England, Scotland and Wales in Great Britain and the Isle of Man are OBF and the whole of the
United Kingdom is ObmF.
(i): In Iceland, that has no special agreement concerning animal health (status) with the EU, brucellosis (B. abortus,
B. melitensis, B. suis) has never been reported.
(j): Switzerland provided data directly to EFSA. The human data for Switzerland also include the ones from Liechtenstein
(OBF/ObmF).
As in previous years, the lowest notification rates were observed in MS with the status ‘officially free
of bovine brucellosis’ (OBF, Figure 34) and/or officially free of ovine and caprine brucellosis caused by
B. melitensis (ObmF, Figure 37). The majority of brucellosis cases in these countries were reported to
have been imported or travel-associated. Sweden, which has the status OBF/ObmF and had a
relatively high notification rate (0.17 cases per 100,000 population), reported all confirmed brucellosis
cases as travel-related. The highest notification rates of domestic brucellosis were reported in three
countries that were not officially brucellosis-free in cattle, sheep or goats: Greece (1.24 per 100,000
population), Portugal (0.43) and Spain (0.13), together accounting for 69.2% of all confirmed cases
reported in 2014 (Table 20). Italy only reported provisional data on a low number of human
brucellosis cases in 2014, but observed high notification rates in 2013 and previous years.
Some seasonality was observed in the number of confirmed brucellosis cases in the EU/EEA with more
cases reported from April to September (Figure 33). There was no significant increasing or decreasing
trend in 2008–2014. A dominant peak in 2008 was due to a large outbreak on the Greek island of
Thassos in which 126 people were ill of brucellosis. Consumption of locally produced fresh cheese
made from unpasteurised milk was identified as the most likely source of infection (Karagiannis et al.,
2012).
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Source: Austria, Cyprus, Czech Republic, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Latvia,
Lithuania, Malta, the Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden and the United
Kingdom. Belgium, Bulgaria, Croatia, Italy and Luxembourg did not report data to the level of detail required for the analysis.
Denmark does not have a surveillance system for this disease.
Figure 33: Trend in reported confirmed human cases of brucellosis in the EU/EEA, by month of
reporting, 2008–2014
Nine MS provided data on hospitalisation, accounting for 62.0% of confirmed cases in the EU. On
average, 66.0% of the confirmed brucellosis cases with known status were hospitalised. Ten MS
provided information on the outcome of the cases. No deaths due to brucellosis were reported in 2014
among the 144 confirmed cases for which this information was reported (41.5% of all confirmed
cases).
Brucella species information was missing for 71.5% of the 347 confirmed cases reported in the EU. Of
the 97 cases with known species, 85.6% were reported to be infected by B. melitensis, 2.1% by
B. abortus and 12.4% by other Brucella species.
3.7.2.
Brucella in food and animals
Food
In 2014, three MS (Italy, Portugal and Spain) provided results of testing for Brucella in the following
categories: raw milk from cows and other animal species, milk from sheep and goats, cheese, other
dairy products excluding cheeses, and sweets. A total of 1,042 samples sourced in processing plants,
farms and at retail level were tested in these MS. In an investigation of 491 samples of ‘milk from
other animal species or unspecified’, collected at processing level in Italy, nine samples (1.83%) were
found positive for Brucella spp. (Table 2014_BRUCFOOD).
Cattle
The status regarding freedom from bovine brucellosis (OBF) and occurrence of the disease at region
or national levels for MS and non-MS in 2014 are presented in Figure 34 and Figure 35, respectively.
At the end of 2014, the following countries and regions were OBF (officially bovine brucellosis free):
Austria, Belgium, the Czech Republic, Denmark, Estonia, Finland, France, Germany, 10 Italian regions
and 11 Italian provinces, Ireland, Latvia, Luxembourg, the Netherlands, all administrative regions
within the superior administrative unit of the Algarve as well as six of the nine islands of the Azores
(Pico, Graciosa, Flores, Corvo, Faial and Santa Maria) in Portugal, Poland, Slovakia, Slovenia, Sweden,
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England, Scotland, Wales and the Isle of Man in the United Kingdom, the two provinces of the Canary
Islands (Santa Cruz de Tenerife and Las Palmas), the Balearic Islands, Basque Country, Murcia and La
Rioja in Spain. During 2014 also Lithuania, Romania and the region of Liguria in Italy were declared
OBF.
The MS that did not yet gain country-level OBF status in 2014 were: Bulgaria, Croatia, Cyprus, Greece,
Hungary, Italy, Malta, Portugal, Spain and the United Kingdom.
Norway and Switzerland were OBF in accordance with EU legislation and Liechtenstein had the same
status (OBF) as Switzerland. Iceland, which has no special agreement on animal health (status) with
the EU, has never reported brucellosis due to B. abortus, B. melitensis or B. suis.
Figure 34: Status of countries regarding bovine brucellosis, 2014
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Proportions of Brucella-positive cattle herds are displayed only if they are above the legal threshold of 0.1%. Proportions relate
to the non-OBF regions.
Figure 35: Proportion of existing cattle herds infected with or positive for Brucella, 2014
During the period 2005–2013, the overall proportion of brucellosis-infected/positive cattle herds in the
EU decreased steadily to very low levels; and, since 2007, bovine brucellosis has been a rare event in
the EU. The overall proportion of infected/positive herds in 2014 remained very low in all MS at
0.034% of infected/positive herds (Figure 36). The percentage of existing infected/positive herds in
the 10 non-OBF MS in 2014, with a total of 455,879 bovine herds, was also low but increased from
0.08% in 2013 to 0.19% in 2014, mainly due to the reduction in the total number of cattle herds from
1,204,215 in 2013 to 455,879 in 2014. This was the result of the recognition of Romania as OBF MS,
whose cattle population comprises 619,591 herds.
In the 18 OBF MS and the OBF regions of non-OBF MS (representing a total of 2,121,635 cattle
herds), annual surveillance programmes are carried out to confirm the freedom from bovine
brucellosis. During 2014, bovine brucellosis was only detected in one Belgian cattle herd and not in
the other OBF MS. It was not detected either in the four non-MS: Iceland, Norway, Switzerland and
Liechtenstein.
In five of the 10 non-OBF countries, namely, Croatia, Italy, Portugal, Spain and the United Kingdom,
eradication programmes for bovine brucellosis approved for EU co-financing were carried out in 2014.
All MS containing a non-OBF region have in place national eradication programmes for bovine
brucellosis. In general, MS receiving EU co-financing for their eradication programme report the
number of positive herds, whereas MS not receiving EU co-financing report the number of infected
herds.
In the five non-OBF MS with an EU co-financed eradication programmes, the number of positive herds
reported in 2014 was four in Croatia (one in 2013), 510 in Italy (531 in 2013), 88 in Portugal (88 in
2013), 58 in Spain (91 during 2013) and eight in the United Kingdom (Northern Ireland, 26 in 2013).
For the United Kingdom, these eight positive herds concerned seropositive herds that were not
confirmed by bacteriological culture (Table 2014_DSBRUCOFCAT). Four of the five non-OBF MS
without EU co-financed eradication programmes, namely Bulgaria, Cyprus, Hungary and Malta did not
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report any cases of infected herds. Greece was the only one of the five non-OBF MS without EU cofinanced eradication programmes with infected herds in 2014 (211, which was lower than in 2013
with 281 infected herds).
2.0
1.8
1.6
1.4
Non-ObmF MSs - herds
1.2
1.0
All MSs - sheep and goat
herds
0.8
Non-OBF MSs - herds
0.6
All MSs - cattle herds
0.4
0.2
0.0
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Bovine brucellosis: Missing data from one OBF MS (Germany (2008)) and non-OBF MS (Hungary (2005), Malta (2006) and
Lithuania (2007)). Romania included data for the first time in 2007, Bulgaria in 2008 and Croatia in 2013.
Sheep and goat brucellosis: Missing data from Bulgaria (2005–2007), Germany (2005–2007, 2012, 2013), Hungary (2005),
Lithuania (2005, 2007, 2010), Luxembourg (2005–2006, 2008–2009, 2011), Malta (2005–2006) and Romania (2005–2006,
2008). Romania reported data at the animal level in 2008.
Figure 36: Proportion of existing cattle, sheep and goat herds infected with or positive for Brucella,
2005–2014
Sheep and goats
The status regarding freedom from ovine and caprine brucellosis caused by B. melitensis (OBmF) and
occurrence of the disease at regional or national levels for MS and non-MS in 2014 are presented in
Figure 37 and Figure 38, respectively. In 2013, the following countries and regions were OBmF:
Austria, Belgium, the Czech Republic, Denmark, Estonia, Finland, 64 departments in France, Germany,
Hungary, 11 regions and eight provinces in Italy, Ireland, Latvia, Lithuania, Luxembourg, the
Netherlands, the Azores Islands in Portugal, Poland, Romania, Slovakia, Slovenia, the two provinces of
the Canary Islands, Asturias, Cantabria, Castile and Leon, Galicia, Basque Country and the Balearic
Islands in Spain, Sweden and the United Kingdom. In 2014, Navarre in Spain, the regions of Liguria
and Lazio in Italy and 31 additional departments in France were also declared ObmF.
MS that in 2014 had not yet gained a country-level ObmF status are Bulgaria, Croatia, Cyprus, France,
Greece, Italy, Malta, Portugal and Spain.
Norway and Switzerland were ObmF in accordance with EU legislation and Liechtenstein had the
same status (ObmF) as Switzerland. Iceland, which has no special agreement concerning animal
health (status) with the EU, has never reported brucellosis due to B. abortus, B. melitensis or B. suis.
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Figure 37: Status of countries and regions regarding ovine and caprine brucellosis, 2014
Proportions of Brucella-positive sheep and goat herds are displayed only if they are above the legal threshold of 0.1%.
Proportions relate to the non-ObmF regions.
Figure 38: Proportion of existing sheep and goat herds infected with or positive for Brucella, by
country and region, 2014
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During the period 2005–2013, the overall proportion of existing sheep and goat flocks infected with or
positive to B. melitensis in the EU showed a decreasing trend. In 2014 the decline continued from
0.11% in 2013 to 0.09% in 2014, the lowest ever reported. The decline was also observed in the
proportion of existing sheep and goat flocks infected with, or positive for B. melitensis in the nine nonOBmF MS that went from 0.23% in 2013 to 0.19% in 2014 (Figure 36).
In the 19 OBmF MS and in the OBmF regions of non-OBmF MS, annual surveillance programmes are
carried out to confirm freedom from sheep and goat brucellosis. During 2014, brucellosis due to
B. melitensis was not detected in any of the 612,465 sheep and goat flocks in the 19 OBmF MS. It
was not detected either in the four non-MS: Iceland, Liechtenstein, Norway and Switzerland.
In six of the nine non-ObmF countries, namely Croatia, Cyprus, Greece, Italy, Portugal and Spain,
eradication programmes for ovine and caprine brucellosis approved for EU co-financing were carried
out in 2014. All MS containing a non-ObmF region have a national eradication programme for ovine
and caprine brucellosis in place. In general, MS receiving EU co-financing for their eradication
programme report the number of positive flocks, whereas MS not receiving EU co-financing report the
number of infected flocks. From the six co-financed non-ObmF MS, Cyprus was the only MS that did
not report any positive flocks. The remaining five MS reported, respectively, 25 positive herds in
Croatia (one in 2013), 447 in Italy (597 in 2013), 529 in Portugal (672 in 2013), 22 in Greece (21 in
2013) and 113 in Spain (153 in 2013) (Table 2014_DSBRUCOFOV).
None of the three non-OBmF MS without EU co-financed eradication programmes, namely Bulgaria,
France and Malta reported any positive case of infected flocks in 2014.
Other animals
In 2014, 17 MS and two non-MS sampled animal species other than cattle, sheep or goats. Brucellapositive tests were reported in 10 (0.39%) pig herds out of the 2,339 tested in three MS: France
(B. suis, 6 out of 19), Germany (B. suis in 2 out of 850) and Italy (unspecified in 2 out of 1,470).
Samples tested at herd level in farmed wild boar (9), solipeds (218) and water buffalo (2) were all
negative. Of the 537,239 animals tested, 4,810 were found positive (0.9%) including the following
species and countries: seals (1 in Finland), wild boar (1,393 in Germany, 252 in Italy, 156 in Spain),
hares (16 in Germany), pet dogs (1 in Finland, 13 in Italy, 11 in Romania, 1 in Sweden), pigs (3 to
B. suis in Croatia, 226 in Germany, 107 in Italy), zoo animals (4 in Germany), bears (1 in Italy), deer
(4 in Italy), foxes (1 in Italy) and water buffalo (2,620 in Italy). One hare was found positive in
Switzerland (Table 2014_BRUCOTHERAN).
3.7.3.
Discussion
Brucellosis is a rare infection in humans in the EU. The highest notification rates and the majority of
domestic cases were reported from three MS (Greece, Portugal and Spain) that are not officially
brucellosis-free in cattle, sheep or goats. The majority of brucellosis cases in the officially brucellosisfree countries were reported to have been imported and travel-associated. Nearly 70% of the human
brucellosis cases were hospitalised, but no fatal case was reported in 2014.
There was a Brucella-positive investigation in nine samples of milk (processing plant sampling)
collected in Italy. The other two MS (Portugal and Spain) that reported surveillance results in food did
not have any positive finding. However, the two reported weak evidence food-borne outbreaks in
2014 by one MS illustrate the health risk related to consumption of food contaminated with Brucella.
MS have national surveillance and/or eradication programmes in place. The decreasing trend in the
prevalence of both bovine and small ruminant brucellosis within the EU has been consolidated. In
2014, bovine, ovine and caprine brucellosis remained a rare event in the EU. Both bovine and small
ruminant brucellosis infected or positive herds have been reported by five Mediterranean MS: Croatia,
Greece, Italy, Portugal and Spain. Bovine brucellosis was also reported in Belgium in one cattle herd.
Most non-officially brucellosis-free MS and non-officially B. melitensis free MS reported fewer positive
and/or infected herds than in 2013.
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3.8.
Trichinella
The Appendix contains hyperlinks to all data summarised for the production of this section, for
humans, food, animals and food-borne outbreaks. It also includes hyperlinks to Trichinella summary
tables and figures that were not included in this section because they did not trigger any marked
observations. The summarised data are presented in downloadable Excel and PDF files, and are listed
by subject.
3.8.1.
Trichinellosis in humans
In 2014, 383 cases of trichinellosis, of which 319 confirmed, were reported by 10 MS (Table 21).
Fifteen MS reported zero cases in 2014. The EU notification rate in 2014 was 0.07 cases per 100,000
population which was an increase of 40% compared with 2013 and was the highest notification rate
reported in the last 5 years. This was mainly due to an increased number of trichinellosis cases
reported by two countries; Romania and Bulgaria. As in previous years, these two countries had the
highest notification rates (1.11 and 0.83 cases per 100,000, respectively) in 2014. Together Romania
and Bulgaria accounted for 88.1% of all confirmed cases reported at the EU level in 2014. In
Romania, more than half of the cases (221 cases; 56.1%) were reported in January-February 2014. In
Bulgaria, all 60 confirmed cases in 2014 were linked to five outbreaks. In Belgium, a substantial
increase with 16 cases was reported in December 2014. Wild boar meat was a suspected source of
the outbreak.
Only two cases of trichinellosis were reported as travel-associated and were related to travel to
another EU country. The remaining cases were either reported as domestically-acquired or of
unknown origin.
Table 21: Reported human cases of trichinellosis and notification rates per 100,000 population in the
EU/EEA, by country and year, 2010–2014
Country
Austria
Belgium(b)
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark(c)
Estonia
Finland
France
Germany
Greece
Hungary
Ireland
Italy(d)
Latvia
Lithuania
Luxembourg
Malta
Netherlands
Poland
Portugal
Romania
Slovakia
Slovenia
Spain
Sweden
United
Kingdom
EU Total
Iceland
National
coverage(a)
2014
Data
Total
format(a) cases
Y
N
Y
Y
Y
Y
–
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
C
C
A
A
C
C
–
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
5
20
0
0
0
32
0
221
0
0
1
1
0
5
5
0
0
0
6
0
221
0
0
1
1
0
0.25
0.17
0.00
0.00
0.00
0.02
0.00
1.11
0.00
0.00
0.00
0.01
0.00
–
Y
–
C
383
0
319
0
0.07
0.00
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0
16
81
3
0
2
–
0
0
0
1
0
0
0
Confirmed
cases & rates
Cases
Rate
0
0.00
16
–
60
0.83
3
0.07
0
0.00
0
0.00
–
–
0
0.00
0
0.00
0
0.00
1
0.00
0
0.00
0
0.00
0
0.00
117
2013
2012
2011
2010
Confirmed
Confirmed
Confirmed
Confirmed
cases&rates cases & rates cases & rates cases & rates
Cases Rate Cases Rate Cases Rate Cases Rate
0
0.00
0
0.00
1
0.01
5
0.06
1
–
0
–
0
–
3
–
36
0.49
30
0.41
27
0.37
14
0.19
–
–
–
–
–
–
–
–
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
1
0.01
0
0.00
0
0.00
–
–
–
–
–
–
–
–
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
2
0.00
0
0.00
14
0.02
2
0.00
3
0.00
3
0.00
0
0.00
0
0.00
0
0.00
4
0.04
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
33
0.06
6
0.01
0
0.00
11
0.54
41
2.01
50
2.41
9
0.42
6
0.20
28
0.93
29
0.95
77
2.45
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
1
0.01
0
0.00
4
0.01
1
0.00
10
0.03
14
0.04
0
0.00
0
0.00
0
0.00
0
0.00
116
0.58
149
0.74
107
0.54
82
0.41
5
0.09
5
0.09
13
0.24
2
0.04
1
0.05
1
0.05
1
0.05
0
0.00
23
0.05
10
0.02
18
0.04
10
0.02
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
217
0
0.05
0.00
301
–
0.06
–
268
–
0.06
–
223
–
0.05
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2013
2012
2011
2010
Confirmed
Confirmed
Confirmed
Confirmed
Confirmed
Country
cases & rates
cases&rates cases & rates cases & rates cases & rates
Cases
Rate Cases Rate Cases Rate Cases Rate Cases Rate
Norway
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Switzerland(e)
Y
C
0
0
0.0
1
0.01
1
0.01
0
0.00
1
0.01
(a): Y: yes; N: no; A: aggregated data; C: case-based data; –: no report.
(b): Disease not under formal surveillance.
(c): No surveillance system.
(d): No report for 2013-2014
(e): Switzerland provided data directly to EFSA. The human data for Switzerland also include the ones from Liechtenstein.
National
coverage(a)
2014
Data
Total
format(a) cases
The trend in reported and confirmed cases of trichinellosis was substantially influenced by a number
of smaller and larger outbreaks often with peaks in January (Figure 39). The large peak at the
beginning of 2009 was attributed to Romania, which reported 243 confirmed cases in January–March
only.
Source: Austria, Cyprus, Czech Republic, Estonia, Finland, France, Greece, Hungary, Ireland, Latvia, Luxembourg, Malta,
Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Sweden and the United Kingdom. Bulgaria, Croatia,
Germany, Iceland, Italy, Lithuania and Spain did not report data to the level of detail required for the analysis. Belgium and
Denmark do not have any formal surveillance system for the disease.
Figure 39: Trend in reported confirmed human cases of trichinellosis in the EU/EEA, by month of
reporting, 2008–2014
Of the 10 MS that reported confirmed cases in 2014, five provided information on hospitalisation for
all of their cases (corresponding to 74.6% of all confirmed cases reported in the EU). On average,
63.0% of the cases were hospitalised. Six MS provided information on the outcome of the cases. Two
deaths due to trichinellosis were reported in Romania in 2014. This gives an EU case-fatality rate of
0.84% among the 239 confirmed cases for which this information was reported (74.9% of all
confirmed cases).
3.8.2.
Trichinella in animals
Comparability of data
According to Commission Regulation (EC) No 2075/2005, carcases of domestic pigs, horses, wild boar
and other farmed or wild animal species that are susceptible to Trichinella infestation should be
systematically sampled at slaughter as part of the meat inspection process and are tested for
Trichinella. Animals (both domestic and wild) slaughtered for home consumption are not included in
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the Regulation, but are subject to national rules, which differ per MS, as each MS can decide how to
control Trichinella in this population (e.g. test or not, freeze or not). Therefore, data from animals
slaughtered for home consumption might not be comparable between MS.
From 1 June 2014 Commission Regulation (EU) No. 216/2014 amending Regulation (EC) No
2075/2005 came into force. The Regulation state that the reporting of data on domestic swine shall,
at least, provide specific information related to number of animals raised under controlled housing
conditions and number of breeding sows, boars and fattening pigs tested. Further, the Regulation
states that a negligible risk status for a country or region is no longer recognised in an international
context by the OIE. Instead, such recognition is linked to compartments of one or more holdings
applying specific controlled housing conditions. Belgium and Denmark have had such a status since
2011, and holdings and compartments in those two MS which complied with the conditions for
controlled housing at the date of entry into force of this Regulation, are allowed to apply for the status
as negligible risk without additional prerequisites.
Only results for the most important animal species that might serve as a source for human infection in
the EU are presented.
Detailed information on the data reported and on the occurrence of Trichinella in the different animal
categories has been included in specific tables referenced in Appendix.
In 2014, 26 MS and three non-MS provided information on Trichinella in farm animals (pigs, farmed
wild boar and horses) and 10 MS reported positive findings.
Nine MS reported data on breeding and fattening pigs raised under controlled housing conditions and
only Romania reported positive findings in breeding animals (0.02% in more than 10,000 tested pigs)
(Table 2014_TRICHPIGS).
In total, data on 31,588,613 fattening pigs and 466,926 breeding animals kept under controlled
housing conditions were reported; only Sweden reported separate data for breeding animals (sows
and boars). Seventeen MS and three non-MS did not provide specific information on housing
conditions for some of the reported data, which included test data from 94,509,405 animals. Italy and
Latvia each reported one positive finding.
Twelve MS reported data on breeding and fattening pigs that were not raised under controlled
housing conditions and five MS reported positive findings (Table 2014_TRICHPIGSNOT). In fattening
pigs, five MS (Romania accounting for most reports followed by Croatia, Bulgaria, Poland and Spain)
reported in total 196 positive findings of which 23 (Croatia and Spain) were found in fattening pigs for
home
consumption.
Only
Poland
reported
positive
breeding
animals
(Figure
2014_TRICHMAPSPIGSNOT). In total, 200 animals out of 68,974,068 animals tested positive. Spain
and Poland reported 94% of the data.
In total, 191,332,813 pigs (breeding pigs, fattening pigs and unspecified pigs kept under controlled
and not under controlled housing conditions) tested for Trichinella were reported by the MS and
204 were positive (0.0001%). Most (97.5%) of the positive findings were reported by Romania
(70.1% of the positive findings) followed by Croatia, Poland and Spain; 52.5% of the positive findings
were T. spiralis, 36.3% were unspecified Trichinella and 11.3% were T. britovi.
Ten MS reported data on farmed wild boar (Table 2014_TRICHFARMEDWILDBOAR). In total,
41,244 animals were tested; Austria reported 63.6% of all data with two positives (one from Austria
(T. pseudospiralis) and one imported from Poland (T.spiralis)) out of 26,218 samples tested (0.008%).
Bulgaria and Romania also reported 0.73% and 1.53% positive findings respectively.
No positive findings were reported from 198,665 domestic solipeds (mainly horses, but also donkeys
and mules) tested in the EU (Table 2014_TRICHHORSE).
Nineteen
MS
and
one
non-MS
provided
data
on
hunted
wild
boar
(Table 2014_TRICHWILDWILDBOAR). Twelve MS reported 1,049 positive findings out of
884,369 animals tested, with an overall EU proportion of positive samples of 0.12% (Figure 40). Most
of the positive animals were reported by eastern EU MS with Poland reporting 58.3% of the positive
samples followed by Spain (19.8%), Estonia (7.2%) and Latvia (7.0%). Most of the findings were
reported as Trichinella spp. (64.5%) followed by T. spiralis (25.6%) and T. britovi (8.8%). There were
also a small number of findings of T. nativa and T. pseudospiralis.
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Figure 40: Findings of Trichinella in hunted wild boar, 2014
Eighteen MS reported data on Trichinella in 27 different wildlife species other than hunted wild boar,
and reported a total of 421 positive findings (14 different species) from 13,374 animals tested (3.1%).
Trichinella is found in wildlife in large parts of Europe and 15 MS reported positive findings. Most of
the reported positive findings were from eastern and north-eastern EU MS (Figure 41).
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Figure 41:
Findings of Trichinella in wildlife (excluding hunted wild boar), 2014
The proportion of positive samples in various wildlife species tested between 2005 and 2014 is
presented in Figure 42. Over the years, the highest proportion of positive samples has been reported
for raccoon dogs, followed by bears. The decrease observed in the proportion of positive samples for
raccoon dogs between 2012 and 2013 is due to the reporting of data from Denmark that included no
positive samples in these years. For all years, Finland has reported most of the positive samples even
though they reported less than 1% of samples tested each year. In 2014, Finland reported 68.9% of
all positive findings in wildlife other than hunted wild boar, mainly in raccoon dogs, lynx and fox.
Switzerland also reported few positive cases in lynx. Trichinella was also reported from rats, wolves,
wolverines, badgers, jackals, mink, beavers, martens, otters and owls.
60.0
55.0
Proportion of positive samples
50.0
45.0
40.0
35.0
Other wildlife
30.0
Bears
Raccoon dogs
25.0
Foxes
20.0
Wild boars (Hunted)
15.0
10.0
5.0
0.0
2005 (21 2006 (24 2007 (22 2008 (25 2009 (28 2010 (28 2011 (27 2012 (26 2013 (27 2014 (18
countries) countries) countries) countries) countries) countries) countries) countries) countries) countries)
Years
Figure 42: Proportion of Trichinella-positive samples in wildlife in Member States and non-Member
States, 2005–2014
3.8.3.
Discussion
Trichinellosis is a rare disease in the EU/EEA. The 7-year EU/EEA trend from 2008 to 2014 was greatly
affected by the number and size of disease outbreaks each year. The EU notification rate increased in
2014 and was the highest reported for 5 years. This was mainly due to the two countries with the
highest notification rates, Romania and Bulgaria, accounting for 88% of reported confirmed cases.
Both countries reported an increase in cases in 2014 and the notification rates almost doubled
compared with 2013. This increase was attributed to the several outbreaks in these two countries. On
average, almost 80% of the confirmed human trichinellosis cases were hospitalised with two fatal
cases reported in 2014.
Trichinella is found in large parts of Europe and 15 MS reported positive findings in 2014 in animals.
In the EU, most pigs are subject to official meat inspection at slaughter in accordance with Regulation
(EC) No 2075/2005; only pigs slaughtered for home consumption are not covered by the regulation.
Only seven MS reported Trichinella in pig meat in 2014, with an EU prevalence of 0.0001%. The
positive findings were mainly from pigs not raised under controlled housing conditions. Indeed,
Romania account for 70% of the reported positive findings in pigs and most of these were related to
pigs not raised under controlled housing conditions. EFSA has identified that non-controlled housing
condition is the single main risk factor for Trichinella infections in domestic pigs, and the risk of
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Trihinella infection in pigs from well-managed officially recognised controlled housing conditions is
considered negligible (EFSA, 2011b). Most humans become infected when consuming undercooked
meat from pigs or wild boar that have not been tested for Trichinella spp.
Ten MS reported data on farmed wild boar and only two MS reported positive findings. The prevalence
in farmed wild boar is higher than in pigs, and controlled housing conditions are often not applied to
this production. No positive findings were reported from solipeds in 2014.
In the EU Member States, Trichinellosis in wildlife is widespread and Trichinella is commonly reported
in wildlife, especially by some eastern and north eastern European MS. The proportion of positive
samples from wildlife, other than wild boar, was highest in raccoon dogs, followed by bears.
Trichinella was also reported from rats, wolves, wolverines, badgers, jackals, mink, beavers, martens,
otters and owls.
The increasing number of wild boar and red foxes and the spread of the raccoon dog from eastern to
western Europe may increase the prevalence of Trichinella circulating among wild animals (Alban et
al., 2011). Therefore, it is important to continue educating hunters and others eating wild game about
the risk of eating undercooked game meat.
Seventeen food-borne outbreaks caused by Trichinella were reported in six MS. Pig meat was the food
vehicle identified in 11 out of 15 strong-evidence outbreaks, and consumption of inadequately heattreated meat or meat not controlled for Trichinella (e.g. meat from backyard pigs or wild bear) were
reported as the main causes.
Generally, Trichinella is considered a medium risk for public heath related to the consumption of pig
meat, and integrated preventative measures and controls on farms and at slaughterhouses can ensure
effective control of Trichinella (EFSA BIOHAZ, CONTAM and AHAW Panels, 2011). In pigs raised
indoors, the risk of infection is mainly related to the lack of compliance with rules on the treatment of
animal waste. In such farms, infection could also occur as a result of the breakdown of the biosecurity
barriers around the farm, allowing the ingress of infected rodents. Pigs raised outdoors are at risk of
contact with potentially Trichinella-infected wildlife (EFSA, 2011b).
3.9.
Echinococcus
The Appendix contains hyperlinks to all data summarised for the production of this section, for
humans and animals. It also includes hyperlinks to Echinococcus summary tables and figures that
were not included in this section because they did not trigger any marked observation. The
summarised data are presented in downloadable Excel and PDF files, and are listed by subject.
3.9.1.
Echinococcosis in humans
Although cystic echinococcosis (CE) and alveolar echinococcosis (AE) are two different diseases,
caused by E. granulosus and E. multilocularis, respectively, they are reported jointly to ECDC as
echinococcosis as the EU case definition does not differentiate between the two clinical forms of the
disease. As the majority of cases is caused by E. granulosus, the total number of cases can be
considered to approximately reflect the situation concerning E. granulosus. In 2014, 806
echinococcosis cases, of which 801 were laboratory-confirmed, were reported in the EU (Table 22).
Twenty-one MS reported at least one confirmed case and five MS reported zero cases. The EU
notification rate was 0.18 cases per 100,000 population, the same as in 2013. The highest notification
rate was observed in Bulgaria with 4.17 cases per 100,000, followed by Lithuania, Latvia and Croatia
with 0.75, 0.65, and 0.47 cases per 100,000 respectively.
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Table 22: Reported human cases of echinococcosis and notification rates per 100,000 population in
the EU/EEA, by country and year, 2010–2014
2014
National
coverage(a)
Data
format(a)
2013
2012
2011
2010
Total
cases
Confirmed
Confirmed
Confirmed
Confirmed
Confirmed
Country
cases &rates cases &rates cases &rates cases &rates cases &rates
Cases Rate Cases Rate Cases Rate Cases Rate Cases Rate
Austria
Y
C
14
14
0.17
11
0.13
3
0.04
7
0.08
21
0.25
Belgium
Y
A
15
15
0.13
15
0.13
6
0.05
1
0.01
1
0.01
Bulgaria
Y
A
302
302
4.17
278
3.82
320
4.37
307
4.17
291
3.92
Croatia
Y
A
20
20
0.47
–
–
–
–
–
–
–
–
Cyprus
Y
C
0
0
0.00
0
0.00
0
0.00
2
0.24
0
0.00
Czech Republic
Y
C
6
6
0.06
2
0.02
0
0.00
0
0.00
5
0.05
Denmark(c)
–
–
–
–
–
–
–
–
–
–
–
–
–
Estonia
Y
C
1
1
0.08
3
0.23
3
0.23
0
0.00
0
0.00
Finland(d)
Y
C
0
0
0.00
4
0.07
3
0.06
1
0.02
1
0.02
France
Y
C
32
32
0.05
34
0.05
49
0.08
45
0.07
33
0.05
Germany
Y
C
112
112
0.14
127
0.15
118
0.14
142
0.17
117
0.14
Greece
Y
C
13
13
0.12
10
0.09
21
0.19
17
0.15
11
0.10
Hungary
Y
C
2
2
0.02
5
0.05
6
0.06
11
0.11
9
0.09
Ireland(d)
Y
C
0
0
0.00
1
0.02
0
0.00
0
0.00
1
0.02
(e)
(e)
Italy(c)
–
–
–
–
–
–
–
–
–
–
–
Latvia
Y
C
13
13
0.65
7
0.35
8
0.39
10
0.48
14
0.66
Lithuania
Y
C
22
22
0.75
23
0.77
23
0.77
24
0.79
23
0.73
Luxembourg
Y
C
0
0
0.00
0
0.00
0
0.00
1
0.20
1
0.20
Malta(d)
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Netherlands
Y
A
30
30
0.18
33
0.20
50
0.30
49
0.29
35
0.21
Poland
Y
C
48
48
0.13
39
0.10
28
0.07
19
0.05
36
0.09
Portugal
Y
C
4
4
0.04
3
0.03
2
0.02
1
0.01
3
0.03
Romania
Y
C
36
31
0.16
55
0.28
96
0.48
53
0.27
55
0.27
Slovakia
Y
C
8
8
0.15
20
0.37
3
0.06
2
0.04
9
0.17
Slovenia
Y
C
5
5
0.24
6
0.29
6
0.29
8
0.39
8
0.39
Spain
Y
C
77
77
0.17
94
0.20
96
0.21
53
0.11
82
0.18
Sweden
Y
C
21
21
0.22
16
0.17
16
0.17
19
0.20
30
0.32
United Kingdom(d)
Y
C
25
25
0.04
14
0.02
7
0.01
9
0.01
7
0.01
EU Total
–
–
806
801
0.18
800
0.18
864
0.20
781
0.18
793
0.18
Iceland
Y
C
0
0
0.0
0
0.00
–
–
–
–
–
–
Norway(d)
Y
C
0
0
0.0
2
0.04
2
0.04
3
0.06
1
0.02
(a): Y: yes; N: no; A: aggregated data; C: case-based data; –: no report.
(b): All cases of unknown case classification.
(c): No surveillance system.
(d): Finland, Ireland, Malta, the United Kingdom and mainland Norway have been declared free of E. multilocularis.
(e): In Italy, no surveillance system exists, but according to the hospital discharge records, CE cases ranged from 2,204 in
2001 to 703 in 2012 with a statistically significant decrease (Brandu et al., 2014).
The two forms of the disease can be reported to ECDC by species, reporting is compulsory with a
possibility to report species as unknown. Species information was provided for 521 cases (65% of
confirmed cases) by 15 of 21 countries reporting echinococcosis cases in 2014. Eight MS (Bulgaria,
Hungary, Latvia, Portugal, Romania, Slovenia, Spain and the United Kingdom) only reported cases of
E. granulosus, two MS (Estonia and France) only reported cases of E. multilocularis, and five MS
(Austria, Germany, Lithuania, Poland and Slovakia) reported both parasites in humans. In the EU/EEA,
the reported cases of E. granulosus accounted for 439 cases (54.8% of confirmed cases, of which
68.8%; 302 cases were from Bulgaria), E. multilocularis for 82 cases (10.2%) and no information on
species was provided for 280 cases (35.0%).
The EU/EEA trend in number of echinococcosis cases during 2008-2014 was stable but varied by
species: the number of cases infected with E. multilocularis (AE) increased from 2008 to 2012, but
decreased slightly in 2013–2014 (Figure 43). In contrast, there was a decreasing annual number of
E. granulosus (CE) from 2008 to 2013 and a slight increase in 2014.
Concerning AE by reporting countries in 2014, a decrease in the number of reported cases was seen
for five MS, an increase was observed for one MS and in one MS no difference was found compared
with 2013.
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Similarly for CE, an increase in the number of reported cases was seen during 2014 for five MS, a
decrease was observed for two MS and in the remaining two MS no difference was found.
Source: TESSy data from 10 countries reporting species for most or all their cases throughout the period in 2008-2014. For E.
granulosus from nine MS (Austria, Bulgaria, Estonia, Germany, Latvia, Lithuania, Poland, Slovakia and the United Kingdom). For
E. multilocularis from seven MS (Austria, France, Germany, Latvia, Lithuania, Slovakia and Poland).
Figure 43: Reported confirmed human cases of echinococcosis by species in selected Member
States, by year, 2008–2014
Thirteen MS provided information on hospitalisation for all or the majority of their confirmed cases of
echinococcosis. Spain reported hospitalisation status for the first time in 2014, increasing the
proportion of confirmed cases of echinococcosis with known hospitalisation status on EU-level from
22.7% to 24.0%. An overall decrease in the proportion of cases hospitalised from 70.6% to 63.5%
was observed in 2013–2014. The proportion of cases hospitalised was 70.8% for E. multilocularis
reported by five MS and 61.2% for E. granulosus reported by 10 MS in 2014.
Twelve MS provided information on the outcome of their echinococcosis cases. In 2014, one death,
which was caused by E. granulosus was reported in Romania (Morar et al., 2014).
3.9.2.
Echinococcus in animals
Comparability of data
E. granulosus and E. multilocularis are two different tapeworms that are the causative agents of two
zoonoses with different epidemiology. For E. granulosus the definitive hosts are dogs and, rarely,
other canids, while the intermediate hosts are mainly livestock. For E. multilocularis, in Europe the
transmission cycle is predominantly sylvatic and is wildlife-based. The intermediate hosts for
E. multilocularis are wild small rodents (microtine or arvicolid), while the definitive hosts in Europe are
red foxes, raccoon dogs and, to a lesser extent, dogs and wolves.
As described above there was an increasing number of human cases reported of AE in the EU/EEA
during the five-year period. It is of particular importance to assess the occurrence and distribution of
E. multilocularis in Europe.
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Four MS (Finland, Ireland, Malta, Norway and the United Kingdom) are considered free from
E. multilocularis and according to Regulation (EU) No 1152/201137 these MS require an annual
surveillance programmes in place to monitor the absence of E. multilocularis. One EEA State, mainland
Norway (Svalbard excluded), has also claimed freedom from EM and implements a surveillance
programme in line with Regulation (EU) No 1152/2011.38 The status of E. multilocularis in the EU
Member States and adjacent countries according a recently adopted EFSA opinion is shown in
Figure 44 (EFSA AHAW Panel, 2015).
Free: documented free, i.e. MS listed in Commission Delegated Regulation (EU) No 1152/2011 of 14 July 2011 or adjacent
countries (Norway); Uncertain endemicity: freedom not documented but no case reported (EFSA, 2015).
Figure 44: E. multilocularis status of EU Member States and adjacent countries
In all other MS, data on E. multilocularis rely on whether findings are notifiable and if monitoring is in
place or if studies on E. multilocularis are performed. As data on E. multilocularis in animals vary
geographically (also within countries) and timely, reported cases of E. multilocularis are difficult to
compare within and between countries. According to the scientific literature E. multilocularis has been
documented in wild carnivores, mainly foxes, in 19 MS (Austria, Belgium, Bulgaria, Czech Republic,
Denmark, Estonia, France, Germany, Hungary, Italy, Latvia, Lithuania, Luxembourg, the Netherlands,
Poland, Romania, Slovak Republic, Slovenia and Sweden).
Surveillance for E. granulosus is carried out at meat inspection (macroscopic (visual) examination of
organs of relevant farm animals at slaughter) and data from this surveillance should be comparable
given that the compulsory notification is in place.
37
Commission Delegated Regulation (EU) No 1152/2011 of 14 July 2011 supplementing Regulation (EC) No 998/2003 of the
European Parliament and of the Council as regards preventive health measures for the control of Echinococcus multilocularis
infection in dogs. OJ L 296, 15.11.2011, pp. 6–12.
38
Decision of the EEA Joint Committee No 103/2012 of 15 June 2012 amending Annex I (Veterinary and phytosanitary matters)
to the EEA Agreement. OJ L 270, 4.10.2012, pp. 1–2.
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E. multilocularis in animals
E. multilocularis is mainly monitored in foxes. Finland, Ireland, Malta, Norway and the United
Kingdom, considered free of E. multilocularis (Regulation (EU) No 1152/2011), all reported no cases
during 2014 to European Commission (data not presented here).
In 2014, 13 MS and two non-MS reported data on 7,268 foxes examined for Echinococcus, and eight
MS and one non-MS reported positive findings. Poland, Germany, Slovakia and France (95 tested
foxes in a survey) reported the highest proportion of positive samples: 27.7%. 25.1%, 15.8%, 14.7%,
respectively. Species information was provided from six out of the eight MS that reported infected
foxes in 2014 (Table 2014_ECHINOFOX). Four MS (Denmark, Hungary, Slovakia and Sweden) only
reported foxes infected with E. multilocularis, and reported proportions of positive findings were,
respectively 2.0%, 9.9%, 15.8% and < 0.1%. Poland only reported E. granulosus cases (27.7%) and
Germany reported E. multilocularis (23.6%) and Echinococcus unspecified cases in foxes (Figure 45).
These findings are similar to last year. Belgium and France did not report speciation results of fox
samples.
Ten MS and one non-MS reported investigations of foxes as being part of a monitoring programme,
the remaining countries reported data from surveys (3), clinical investigation (1) or unspecified (2).
Ten MS have reported data on E. multilocularis in foxes for a minimum of four consecutive years, from
2005 to 2014. Sweden reported few positive findings in foxes. In the Czech Republic, an apparent
increase in cases of E. multilocularis has been reported during 2005–2011, however, no data have
been provided since 2011. Findings from France, Germany, Luxembourg, the Netherlands, Poland and
Slovakia have fluctuated between years, but most years they have reported positive findings.
Fluctuations in reported cases probably are driven by efforts done in a particular year, than reflecting
a true change in prevalence.
Finland, Ireland, Malta, Norway and the United Kingdom are considered free of E. multilocularis (Regulation (EU) No
1152/2011).
Figure 45:
Findings of Echinococcus multilocularis in foxes, 2014
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Poland, Denmark and Switzerland reported E. multilocularis in other animal species; Poland reported
seven positive pigs out of 200 animals tested, Denmark reported one positive raccoon dog out of
112 tested and Switzerland reported one beaver positive out of two tested (Table
2014_ECHINOOTHER).
Echinococcus granulosus and Echinococcus findings in other animals
Seventeen MS and two non-MS reported data from 92,440,091 domestic animals (cattle, goats, pigs,
sheep and horses) tested for Echinococcus. These data are obtained mainly from the meat inspection
performed at slaughterhouse. Eight MS reported a total of 188,076 positive samples (0.2%), mainly
from goats (49.5% of the positive samples) and sheep (43.2%). Spain and Greece reported 50.3%
and 48.9% of all Echinococcus-positive samples respectively. Overall, 50.3% of the positive samples
were specified and identified as E. granulosus and almost exclusively by Spain (Table
2014_ECHINOOTHER).
Spain and Finland reported findings of E. granulosus in hunted wild boar, deer, reindeer and wolves,
and France and Romania reported Echinococcus spp. in dogs, cats and monkey (Table
2014_ECHINOOTHER).
3.9.3.
Discussion
The EU notification rate of confirmed human echinococcosis cases has been stable since 2010. The
most commonly reported species in 2014 was E. granulosus (cystic echinococcosis, 13 countries),
whereas seven countries reported cases of E. multilocularis (alveolar echinococcosis). The highest
population-based risk was noted in Bulgaria (which only reported E. granulosus), where the
notification rate was 23 times higher than the average EU rate.
There were over five times as many reported cases for E. granulosus as for E. multilocularis. After a
steady increase of alveolar echinococcosis in the 7-year period 2008–2012, the number of infections
stabilised in 2013 and decreased for the first time in 2014. At the same time, the number of cases
with the cystic form of echinococcosis increased for the first time in 2014 after a 6-year period of
decrease. An increase in E. granulosus was observed particularly in four MS. E. granulosus prevalence
is high in northern Africa and Asia and importation from these regions might be considered a possible
factor for the observed rise (Piseddu et al., 2015).
E. multilocularis was reported at low to moderate levels in foxes by eight MS. E. multilocularis has
been reported in red foxes in most EU MS (EFSA AHAW Panel, 2007; Osterman et al., 2011).
Surveillance of E. multilocularis in foxes is important in order to assess the prevalence in Europe,
particularly as the distribution of E. multilocularis and the fox population is increasing in Europe
(Vervaeke et al., 2006; Berke et al., 2008; Takumi et al., 2008; Combes et al., 2012; Antolová et al.,
2014). Whether this is due to range expansion or reflects an increased surveillance effort will be
difficult to prove, since there is a general lack of (negative) baseline data. Possibly, the parasite had
been present, but undetected, in small transmission foci which rapidly expanded in the wake of
population increases of red foxes. An increase in infected foxes can also lead to E. multilocularis being
isolated from unusual intermediate hosts including beavers due to heavy environmental contamination
with E. multilocularis eggs. Indeed, in Switzerland, where the prevalence of E. multilocularis in foxes is
estimated between 30% and 70%, reported a positive beaver in 2014. In addition, the mapping of
aggregated prevalence data of E. multilocularis (Figure 43) must be interpreted with caution since
many variables such as temperature, rainfall, humidity levels and soil have been identified as relevant
factors that explain partially the distribution of the parasite. These factors may vary a lot locally within
MS leading to local foci within MS reporting positive cases.
E. multilocularis has never been found in Finland, Ireland, Malta, Norway and the United Kingdom,
and in order to maintain the status of E. multilocularis freedom, the four MS (Finland, Ireland, Malta
and the United Kingdom) are obliged to implement surveillance programme aimed at detecting the
parasite in any part of the country (Regulation (EU) No 1152/2011). One EEA State, mainland Norway
(Svalbard excluded), has also claimed freedom from EM and implements a surveillance programme in
line with Regulation (EU) No 1152/2011. In 2013, EFSA carried out the assessment and found that
under the assumption of unbiased representative sampling (in the case of Finland, Ireland and the
United Kingdom) and unbiased risk-based sampling (in the case of Malta) and considering the
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sensitivity of the tests applied, all four MS have fulfilled the requirement of Regulation (EU) No
1152/2011 to the effect that the surveillance activities should detect a prevalence of E. multilocularis
of 1% or less at a confidence level of at least 0.95 (EFSA, 2013b). It should however be noted that
E. multilocularis can occur at lower prevalences as reported in Sweden where 0.1% of investigated
foxes were infected with E. multilocularis. Information campaigns about E. multilocularis tend to focus
on warnings against eating berries and mushrooms from areas where E. multilocularis has been
detected in the wildlife population, while little consideration is given to ownership of dogs and contact
with wild carnivores (Antolová et al., 2014). A case-control study has showed that having a dog and
contact with wild carnivores are important risk factors (Kern et al., 2004).
One MS (Spain) reported almost all the positive findings of E. granulosus; mainly from domestic
animals. All the human cases from Spain were also reported as E. granulosus.
The EFSA Panel on Animal Health and Welfare have stated in a scientific opinion that in many human
cases the diagnosis is established only as echinococcosis, and the aetiological agent of the
disease, E. multilocularis or E. granulosus, is not determined (EFSA AHAW Panel, 2007). Similarly,
EFSA considers that the current data about the occurrence of human echinococcosis in MS do not
provide an accurate picture of the epidemiological situation. In 2014, the species-specific aetiology of
35.0% of reported human cases remained undetermined. Distinction between infections
with E. granulosus and E. multilocularis is needed because the two diseases require different
management of prevention and treatment. Furthermore, the detection of CE or AE in EU citizens or
immigrants is of great epidemiological importance. Regarding animal data, the quality of the data
reported on Echinococcus has improved in recent years, with more information being provided about
the sampling context and more data reported at species level. Also in animals notification is a
requirement for reliable data and information on parasite speciation is very important for risk
management efforts as E. granulosus and E. multilocularis have different epidemiology and pose
different health risks to humans. For E. granulosus, notification requirement will ensure that
comparable data between MS will be obtained from meat inspection of food producing animals.
Concerning E. multilocularis, a general notification requirement for all MS can be questioned but
should be required in countries free from Echinococcus. In countries where the parasite is endemic,
reporting each case gives no additional valuable information. Therefore, repeated surveys, as
surveillance for E. multilocularis, can be a basis for follow up and monitoring (EFSA AHAW Panel,
2015).
3.10.
Toxoplasma
The Appendix contains hyperlinks to all data summarised for the production of this section, for
animals. It also includes hyperlinks to Toxoplasma summary tables and figures that were not included
in this section because they did not trigger any marked observation. The summarised data are
presented in downloadable Excel and PDF files, and are listed by subject.
3.10.1. Toxoplasmosis in humans
Data on congenital toxoplasmosis in the EU in 2014 are not included in this report but data will be
available in the ECDC Surveillance Atlas (in preparation).
3.10.2. Toxoplasma in animals
Comparability of data
Most of the reporting countries provided information on the type of specimen taken and the analytical
method used for testing. This (immunohistochemistry (IHC), PCR, histology) facilitated a better
interpretation and description of the data. Some countries used direct methods to test meat or other
tissues for the presence of Toxoplasma cysts or Toxoplasma antigens, while other countries used
indirect serological assays (agglutination and immunofluorescence assays, ELISA, complement fixation
test), to test blood or meat juice samples for the presence of Toxoplasma-specific antibodies.
Furthermore, some results derive from monitoring and specific national surveys, while other results
are from clinical investigations. Because of the use of different tests and analytical methods, as well as
different sampling schemes, the results from different countries are not directly comparable. It also
should be noted that the prevalence of Toxoplasma infection in farm animals is strongly influenced by
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the age of the tested animals and the production systems and husbandry conditions applied on the
farm.
Animals
In 2014, 14 MS and two
(Table 2014_TOXOOVERVIEW).
non-MS
provided
data
on
Toxoplasma
in
animals
Only four MS reported data on Toxoplasma in pigs (Table 2014_TOXOPIGS). Overall, 9.7% of
2,557 units were positive for Toxoplasma. Italy accounted for most of the samples tested in this
species (80.2%). However, the analytical method, the type of pig farming and the age of the pigs
were not always specified. For objective sampling on farm, 16.6% of the herds (out of 905 tested)
were positive, while at the slaughterhouse the percentage was 6.4% out of the 1,104 tested slaughter
batches. Overall, 5.5% of the reported individual animals (n=490) and 15.6% of the reported
flocks/herd (n=963) were positive for Toxoplasma. During a clinical investigation in the United
Kingdom all 13 sampled pigs tested seropositive by latex agglutination test while no positive pig was
detected among the 434 and 2 animals tested in Germany and Slovakia respectively.
Nine MS and Norway reported data on Toxoplasma in cattle in 2014 (Table 2014_TOXOCATTLE).
Overall, 3.9% of 3,471 units tested in the MS were positive for Toxoplasma. As for pigs, Italy provided
most of the samples, followed by Germany. Overall, 6.2% of the reported individual animals
(n=1,000) and 2.7% of the reported flocks/herd (n=1,306) were positive for Toxoplasma. At animal
level, there was a wide spectrum of reported prevalence, ranging from 0 to 100%, irrespective of
which analytical method was used. In Italy, the prevalence was usually low at herd or slaughter batch
level, except for some samples obtained during clinical investigations. The reported prevalence in
Germany and Ireland was below 5%, while higher prevalence was reported in Poland, Spain and the
United Kingdom, where generally only few animals were tested in the context of suspect sampling. No
Toxoplasma-positive samples were reported by Hungary, Latvia, Slovakia and Norway.
Twelve MS and two non-MS reported information on Toxoplasma in sheep and goats with greater
sample numbers compared to the other species, probably because of the clinical importance of the
parasite in these animal species (Table 2014_TOXOOVINEGOAT). Overall, 26.2% of 7,248 units tested
in the MS were positive for Toxoplasma. As in the previous year, high proportions of serological tests
were found to be positive in several countries, particularly from clinical investigations and suspect
sampling. Overall, 26.9% of the reported individual animals (n=4,694) and 34.2% of the reported
flocks/herd (n=1,724) were positive for Toxoplasma.
Ten MS and two non-MS provided data on Toxoplasma in cats and dogs, mainly from clinical
investigations, and
often found positive
samples, mostly
using
serological tests
(Table 2014_TOXOCATDOG). Overall, 23.9% of the 1,263 cats, tested in the 10 MS and 2 non-MS,
were positive for Toxoplasma, while this was 12.3% in 1,767 tested dogs. Among the countries that
sampled the largest number of animals, Italy reported high seroprevalence both in cats and in dogs.
Finland on the other hand reported very low prevalence in cats (<2%) and no positive samples from
dogs, albeit using histology instead of serological tests.
In addition, eight MS and two non-MS provided data on other animal species, reporting Toxoplasmapositive samples from deer, donkeys, foxes, hares, horses, lynx, mouflons, rabbits, water buffalo, wild
rats and wolves (Table 2014_TOXOOTHERAN). Italy reported a considerable number of tests on
horses, with variable prevalence depending on the analytic method. The percentage of positive
samples/herds was always below 5%.
3.10.3. Discussion
As highlighted in the EFSA opinions on monitoring and surveillance of Toxoplasma as well as on
modernisation of meat inspection, Toxoplasma poses an important risk to human health, and has to
be considered as a relevant hazard to be addressed in revised meat inspection systems for pigs,
sheep, goats, farmed wild boar and farmed deer (EFSA BIOHAZ Panel, 2007a, 2013b,c; EFSA BIOHAZ,
CONTAM and AHAW Panels, 2011). The information reported by MS shows that Toxoplasma is present
in most livestock species across the EU. This is supported by the fact that in most of the reported
countries, Toxoplasma could be detected by direct as well as indirect methods. Positive samples were
also reported in cats (the natural hosts), dogs, as well as in several other domesticated animal
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species, indicating the wide distribution of the parasite among different farm, domestic and wildlife
animal species.
More detailed epidemiological interpretation of reported results is not feasible because of missing
information as regards the use of different tests and analytical methods, on the sampling schemes,
the age of the tested animals and the type of husbandry applied at the farm.
Recently, the relationship between seroprevalence in the main livestock species and presence of
Toxoplasma gondii in meat has been extensively reviewed by a consortium of European institutions,
supported by an EFSA grant (Opsteegh et al., in press).
3.11.
Rabies
The Appendix contains hyperlinks to all data summarised for the production of this section, for
humans and animals. It also includes hyperlinks to rabies summary tables and figures that were not
presented in this section because they did not trigger any marked observation. The summarised data
are presented in downloadable Excel and PDF files, and are listed by subject.
3.11.1. Rabies in humans
Generally, very few cases of rabies in humans are reported in the EU, and most MS have not had any
autochthonous cases for decades. In 2014, three travel-associated cases of rabies were reported in
the EU. One patient was a 46-year old woman from Spain bitten by a dog in Morocco. A 57-year old
man from France was infected by a canine strain of rabies virus in Mali, and a 35-year old Dutch
woman was bitten by a dog in India.
3.11.2. Rabies in animals
Rabies is a notifiable disease in all MS and Switzerland. In 2014, 13 MS had their annual or multiannual plan of rabies eradication co-financed by the EC.39 Eradication programmes include:

oral vaccination of wild animals through baiting;

assessment of rabies incidence (surveillance) by testing any suspect animal40 (wild or
domestic) for rabies;

monitoring of wild animals for vaccination effectiveness, based on the assessment of bait
uptake and on the assessment of immunisation rates by testing for rabies antibodies in the
target species (foxes and raccoon dogs) sampled in vaccinated areas.
Co-financed oral vaccination campaigns were carried out in 2014 in 13 MS – Bulgaria, Croatia, Finland,
Greece, Estonia, Italy, Latvia, Lithuania, Hungary, Poland, Romania, Slovenia and Slovakia. Some of
these vaccinations were applied in neighbouring third countries to reduce the introduction of rabies
via foxes or other potential carriers.
Domestic animals and wildlife
Rabies has been completely eradicated from Western and Central Europe. However, endemic rabies
still occurs in foxes and other wildlife species in certain eastern parts of the EU, in particular Romania,
with sporadic spill-over to domestic animals, mainly dogs and cats (pet and stray) and ruminants.
Overall, 319 rabies cases were reported in foxes by six MS: Romania (215 cases), Poland (73 cases),
Hungary (20 cases), Greece (8 cases), Bulgaria (2 cases) and Croatia (1 case). The total number of
cases decreased by 41.4% compared with 2013, when 544 rabies cases in foxes were reported by
seven MS (mostly by Romania and Poland).This decrease in the number of positive cases from 2013
to 2014 is due to a drop in the cases reported by Romania (215 cases in 2014 versus 322 in 2013),
39
Commission Implementing Decision (EC) No 2013/722/EU of 29 November 2013 approving annual and multiannual
programmes and the financial contribution from the Union for the eradication, control and monitoring of certain animal
diseases and zoonoses presented by the Member States for 2014. OJ L 328, 7.12.2013, p. 83–93.
40
Suspect animals include autochthonous or imported animals (domestic or wild) showing clinical signs of rabies or abnormal
behaviour suggestive of rabies, animals found dead, animals to which humans have been exposed (bites, scratches or licking
of wounds, etc.) and road kill animals (only for rabies-endemic countries). These animals are used for rabies surveillance. This
definition concerns infected and rabies-free countries.
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Poland (73 cases in 2014 versus 136 in 2013), Croatia (1 case in 2014 versus 34 in 2013) and Greece
(8 cases in 2014 versus 25 in 2013).
The geographical distribution of reported cases in foxes in 2014 is shown in Figure 46.
Figure 46:
Classical rabies or unspecified lyssavirus cases in foxes, 2014
It is noteworthy that only one rabies-infected raccoon dog was reported in 2014 in Poland, out of
656 samples tested overall in EU, the majority in Finland (301), Germany (115), Poland (87), Estonia
(72) and Latvia (72). Raccoon dogs are important rabies transmitters in northern and eastern Europe
(1,215 cases reported in 2006), but the incidence in this species was substantially reduced following
oral vaccination programmes.
Overall, in 2014, 443 animals other than bats tested positive for either classical rabies virus or
unspecified lyssavirus, in reporting countries. The number of cases reported in 2014 is notably lower
compared with 2013, when 778 cases were reported in animals other than bats.
In domestic farm animals, only three MS reported positive samples for unspecified lyssavirus: Poland
and Romania reported positive cattle with 2 (confirmed classical rabies virus) and 43 out of 41 and
161 tested suspected samples respectively. Hungary and Romania reported positive goats (1 and
6 out of 11 and 39 tested suspected samples, respectively) and Romania was the only MS that
reported positive pigs (2 out of 5 tested).
In 2014, three MS reported cases of rabies in pets: 13 infected cats and 17 infected dogs were
reported by Romania, five infected cats and nine infected dogs were reported by Poland, and one case
in a dog was reported by Hungary.
The reported cases of classical rabies or unspecified lyssavirus cases in animals other than bats from
2016 until 2014 are shown in Figure 47.
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3,500
3,166
Number of reported cases
3,000
2,500
2,000
1,474
1,500
1,000
883
837
778
712
512
500
443
322
0
2006
2007
2008
2009
2010
2011
2012
(22 MS +
4 non-MS)
(22 MS +
2 non-MS)
(25 MS +
2 non-MS)
(24 MS +
2 non-MS)
(23 MS +
2 non-MS)
(24 MS +
2 non-MS)
(24 MS +
2 non-MS)
2013
(25 MS +
2 non-MS)
2014
(24 MS +
2 non-MS)
Year
(numberof
of reporting
reporting countries
)
Year
(number
countries)
Farm animals
Pets
Foxes
Raccoon dogs
Other wild life (excluding bats)
The number of reporting MS and non-MS is indicated at the bottom of each bar. The total number of rabid cases is reported at
the top of each bar. Imported cases are not included.
Source 2014: Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany,
Hungary, Italy, Latvia, Netherlands, Norway, Poland, Slovakia, Slovenia, Spain, Sweden, Switzerland and the United Kingdom.
Figure 47: Reported cases of classical rabies or unspecified lyssavirus cases in animals other than
bats, in the Member States and non-Member States, 2006–2014
Bats
Bats infected lyssavirus were found in six MS (France, Germany, Poland, Spain, the Netherlands and
the United Kingdom). In total, 27 positive cases were found out of 1,636 examined, the corresponding
figures for 2013 being 19 and 1,442 respectively (Table 2014_RABIESBATS).Thus the rate of positive
cases per examined samples remained constant in this period.
The apparent prevalence varies from 0.35% (1 out of 283 tested in the United Kingdom) to 26% (7
positive out of 27 tested in the Netherlands), but the numbers are probably too small to indicate clear
differences between MS.
The geographical distribution of classical rabies or unspecified lyssavirus cases in bats in 2014 is
shown in Figure 48.
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Figure 48: Classical rabies or unspecified lyssavirus cases in bats, 2014
3.11.3. Discussion
Human rabies claims more than 50,000 lives worldwide each year. It is a rare zoonosis in Europe and
is preventable by vaccination, but the disease is invariably fatal in infected humans once the first
clinical symptoms have appeared. Every year, one or two human cases are reported in European
citizens, either travel-related or autochthonous. In 2014, three cases in patients who travelled to a
non-EU/EEA country endemic for rabies were reported in the EU. It remains important to inform the
public about the risk of contracting rabies if bitten by animals (especially dogs) while travelling to
rabies-endemic countries or in MS which have not eradicated the disease in their animal population.
The incidence of rabies in both domestic and wild animals, particularly in foxes and raccoon dogs, in
EU MS has been substantially reduced over the past decades, following systematic oral vaccination
campaigns, and rabies cases have disappeared in western and most of central Europe. Thanks to EU
co-financed eradication programmes, eastern European countries have also observed a rapid decline
in the number of reported rabies cases in animals following their entry into the EU in 2004. Since
2010, the rate of EU funding for national rabies programmes has been increased up to 75% of the
costs incurred by each MS. About €20 million is spent annually on oral vaccination programmes in
wildlife in the MS and bordering areas of neighbouring third countries, as the vast majority of sylvatic
rabies cases in the EU occur in those areas. 41 The endemicity of sylvatic rabies in neighbouring third
countries is probably the reason for reintroduction and/or recurrence of rabies into certain border
areas of EU.
The recurrence of rabies in some countries highlights the fragility of rabies-free status and the need
for continuous surveillance. Mass vaccination of pets provides a first line of defence to prevent rabies
in humans whereas oral vaccination of foxes and raccoon dogs has proved efficient for the long-term
control and elimination of terrestrial sylvatic rabies. Rabies control programmes for foxes and raccoon
dogs should be complemented by appropriate management measures in stray dogs and cats
41
Commission Implementing Decision (EC) No 2013/722/EU of 29 November 2013 approving annual and multiannual
programmes and the financial contribution from the Union for the eradication, control and monitoring of certain animal
diseases and zoonoses presented by the Member States for 2014 and the following years. OJ 328, 7.12.2013, pp. 101–117.
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(population registry, control and vaccination). It was shown that the successful elimination of fox
rabies is a result of interaction of different key components during oral rabies vaccination campaigns
such as vaccine strain, vaccine bait and strategy of distribution on a temporal and spatial scale (Müller
et al., 2015). Rabies in pets imported from endemic countries is regularly reported in Europe (the
most recent case in 2015, a dog imported from Algeria to France), highlighting the need for continued
vigilance concerning pet movements and campaigns to raise awareness amongst pet owners.
3.12.
Q fever
The Appendix contains hyperlinks to all data summarised for the production of this section, for
humans, and animals. It also includes hyperlinks to Q fever summary tables and figures that are not
presented in this section because they did not trigger any marked observation. The summarised data
are presented in downloadable Excel and PDF files, and are listed by subject.
3.12.1. Q fever in humans
In 2014, 25 EU MS, Iceland and Norway provided information on Q fever in humans. Overall,
777 confirmed cases of Q fever in humans were reported in the EU and one case was reported by
Norway (Table 23). The EU notification rate was 0.18 per 100,000 population. The highest notification
rate (0.60 cases per 100,000 population) was observed in Hungary, followed by Spain (0.54) and
Croatia (0.49). The highest numbers of confirmed cases were reported by Germany and France (238
and 209, respectively). Eight countries (the Czech Republic, Estonia, Finland, Iceland, Ireland,
Lithuania, Luxembourg and Malta) reported no human cases. A large majority of Q fever cases in the
EU were domestically acquired. Only Germany, Greece, Hungary, the Netherlands, Norway, Poland,
Sweden and the United Kingdom reported travel-associated cases. In Poland, Sweden and Norway, all
cases (four in total) were travel-related. Of the 36 travel-associated cases reported in total, 14 were
acquired within other EU countries including four in Spain, and five cases were acquired in Turkey.
Table 23: Reported human cases of Q fever and notification rates per 100,000 in the EU/EEA, by
country and year, 2010–2014
Country
Austria(b)
Belgium(c)
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark(b)
Estonia
Finland
France
Germany
Greece
Hungary
Ireland
Italy(b)
Latvia
Lithuania
Luxembourg
Malta
Netherlands
Poland
Portugal
Romania
Slovakia
Slovenia
Spain(d)
Sweden
United Kingdom
National
coverage(a)
–
N
Y
Y
Y
Y
–
Y
Y
Y
Y
Y
Y
Y
–
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
N
Y
Y
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2014
Data
Total
format(a) cases
–
C
A
A
C
C
–
C
C
C
C
C
C
C
–
C
C
C
C
C
C
C
C
C
C
C
C
C
–
16
17
21
1
0
–
0
0
209
262
15
59
0
–
3
0
0
0
26
1
27
21
1
3
77
2
60
2013
2012
Confirmed
Confirmed
Confirmed
cases & rates cases & rates cases & rates
Cases Rate Cases Rate Cases Rate
–
–
–
–
–
–
0
–
6
–
18
–
15
0.21
23
0.32
29
0.40
21
0.49
–
–
43
1.02
1
0.12
3
0.35
4
0.46
0
0.00
0
0.00
1
0.01
–
–
–
–
–
–
0
0.00
0
0.00
0
0.00
0
0.00
5
0.09
0
0.00
209
0.32
158
0.24
168
0.26
238
0.30
114
0.14
198
0.24
15
0.14
11
0.10
11
0.10
59
0.60
135
1.37
36
0.36
0
0.00
0
0.00
5
0.11
–
–
–
–
–
–
3
0.15
1
0.05
1
0.05
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
2
0.48
0
0.00
26
0.15
20
0.12
63
0.38
1
0.00
0
0.00
0
0.00
25
0.24
21
0.20
26
0.25
21
0.11
24
0.12
16
0.08
1
0.02
0
0.00
0
0.00
3
0.15
1
0.05
1
0.05
77
0.54
75
0.54
58
–
2
0.02
3
0.03
2
0.02
60
0.09
46
0.07
12
0.02
134
2011
2010
Confirmed
Confirmed
cases & rates cases & rates
Cases Rate Cases Rate
–
–
–
–
6
–
30
–
12
0.16
14
0.19
–
–
–
–
5
0.60
4
0.49
1
0.01
0
0.00
–
–
–
–
0
0.00
0
0.00
4
0.07
5
0.09
228
0.35
286
0.44
287
0.35
326
0.40
3
0.03
1
0.01
36
0.37
68
0.69
4
0.09
9
0.20
–
–
–
–
1
0.05
2
0.09
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
80
0.48
504
3.04
0
0.00
0
0.00
5
0.05
13
0.13
6
0.03
7
0.04
0
0.00
0
0.00
0
0.00
1
0.05
33
–
69
–
5
0.05
11
0.12
43
0.07
30
0.05
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2013
2012
2011
2010
Confirmed
Confirmed
Confirmed
Confirmed
Confirmed
Country
cases & rates cases & rates cases & rates cases & rates cases & rates
Cases Rate Cases Rate Cases Rate Cases Rate Cases Rate
EU Total
–
–
821
777
0.18
648
0.17
692
0.16
759
0.20
1380
0.35
Iceland
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Norway
Y
C
1
1
0.02
4
0.08
0
0.00
0
0.00
0
0.00
Switzerland(e)
Y
C
44
44
0.54
27
0.33
–
–
–
–
–
–
(a): Y: yes; N: no; A: aggregated data report; C: case-based data report; –: no report.
(b): Not notifiable, no surveillance system exists.
(c): Sentinel surveillance; no information on estimated coverage thus notification rate cannot be estimated.
(d): Sentinel surveillance; notification rates calculated on estimated coverage 30%.
(e): Switzerland provided data directly to EFSA. The human data for Switzerland also include the ones from Liechtenstein.
National
coverage(a)
2014
Data
Total
format(a) cases
Overall, a decreasing trend in confirmed Q fever cases was observed over the period 2008–2014 in
the EU/EEA (Figure 49). The peaks reported in 2008 and 2009 were due to a large outbreak occurring
in the Netherlands between 2007 and 2010 and involving more than 4,000 human cases (Van der
Hoek et al., 2012). Q fever cases show a seasonal variation peaking mostly between April and August.
800
Number of cases
600
400
200
Number of cases
12-month moving average
0
Jul 2008 Jan 2009 Jul 2009 Jan 2010 Jul 2010 Jan 2011 Jul 2011 Jan 2012 Jul 2012 Jan 2013 Jul 2013 Jan 2014 Jul 2014
Month
Source: Belgium, Bulgaria, Cyprus, Czech Republic, Finland, Germany, Greece, Hungary, Ireland, Malta, the Netherlands,
Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain and Sweden. Estonia, Iceland, Lithuania and Luxembourg
reported zero cases throughout the period. Austria, Croatia, Denmark, France, Latvia, Italy and the United Kingdom did not
report to the level of detail required for the analyses.
Figure 49: Trend in reported confirmed human cases of Q fever in the EU/EEA, by month of
reporting, 2008–2014
One death due to Q fever was reported in 2014 by Hungary resulting in an EU case fatality of 0.26%
among the 380 confirmed cases with known outcome (51.2% of all confirmed cases from countries
with case based reporting).
3.12.2. Coxiella burnetii in animals
Comparability of data
EU MS can report animal cases of Q fever to the EC under Directive 2003/99/EC on the monitoring of
zoonoses and zoonotic agents. This directive states that, in addition to a number of zoonoses and
zoonotic agents, for which monitoring is mandatory, others shall also be monitored where the
epidemiological situation so warrants. Because of the use of different tests and analytical methods, as
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well as different sampling schemes, the results from different countries are not directly comparable.
Proposals for harmonised schemes for the monitoring and reporting of Q fever in animals can be
found in an External Scientific Report submitted to EFSA (Sidi-Boumedine et al., 2010).
Animals
Twenty MS and two non-MS provided data on Q fever (Coxiella burnetii) for 2014, three more than
the previous year. All countries reported positive findings except Finland, Norway, Romania, Slovenia
and Sweden.
Nineteen MS and two non-MS (Norway and Switzerland) provided data on cattle
(Table 2014_COXCATTLE). The majority of samples were collected in Germany, Italy and Belgium.
Overall, 48,141 individual animals were tested in the EU MS either by direct methods (e.g. PCR) or
indirect methods (e.g. serological testing), and out of these, 4,385 (9.1%) animals were positive for
C. burnetii. In addition, 808 (9.0%) positive herds were detected out of the 8,935 herds tested using
either direct or indirect testing methods. Most of the data provided by the MS and non-MS were
collected from clinical investigations or passive surveillance followed by monitoring, active surveillance
and survey activities. Italy carried out a national survey testing 2,634 individual animals and reported
six positive samples (0.23%). Furthermore, 280 holdings were tested for Q fever in Belgium and 225
(80.4%) tested positive. Cyprus, Finland, Romania, Sweden and Norway did not detect C. burnetii in
cattle samples.
Nineteen MS and one non-MS provided data on sheep and goats for 2014 (Table
2014_COXOVINEGOAT). Again, the majority of samples were collected in Germany, Italy, Belgium, as
well the Netherlands. In total, 9,005 individual animals were tested using direct or indirect methods,
of which 540 (6%) tested positive for C. burnetii. Furthermore, 8,931 flocks/herds and 1,128 holdings
were tested using direct and indirect methods and, out of these, 13.7% and 2.2% tested positive,
respectively. Most data were gathered from monitoring, surveying or active surveillance, followed by
clinical investigations surveys and passive surveillance. Czech Republic, Denmark, Finland, Latvia,
Poland, Romania, Slovenia, Slovakia and Sweden did not detect C. burnetii in either sheep or goat
samples. Of note is the difference in proportion of positive goat herds reported by Belgium and the
Netherlands resulting from comparable investigations (monitoring of the milk producing farms in the
countries by performing PCR tests on bulk milk samples); the former MS found 12.2% positive out of
117 and the latter only 1% out of 951.
In 2014, six MS and two non-MS sampled a range of domesticated, captive and wild animals as part
of either clinical investigations or national surveys (Table 2014_COXOTHERAN). The majority of
sampling was conducted in Italy. In total, 2,252 samples were tested and all countries reported
negative findings apart from Italy and Denmark. Italy reported positive tests for foxes, solipeds,
donkeys, wild boar, water buffalo, deer, dogs and mouflons. Most notably, 1,628 farmed water buffalo
were tested and 169 (10.38%) were found to be positive. Denmark also tested two domestic pigs by
ELISA, one was sero-positive.
3.12.3. Discussion
In 2014, the notification rate of confirmed human cases of Q fever in the EU/EEA increased slightly
compared to 2013, but the overall trend has significantly decreased from 2008 to 2014. France and
Germany accounted for the vast majority of confirmed cases reported since 2010.
Although Finland, Norway, Romania, Slovenia and Sweden did not detect C. burnetii in 2014, the
pathogen is still widely distributed in the EU and infects a large number of domesticated and wild
mammals. In these species, variation in surveillance strategies for detection of Q fever within the
different MS (survey, passive surveillance, clinical detection, abortion testing, etc) as well as the
different tests and analytical methods used, makes comparing the prevalence difficult. Interestingly,
the prevalence of C. burnetii in the goat population in the Netherlands is low compared to previous
years. This can be due to the preventive measures, such as intensified vaccination campaigns and
culling after the outbreaks between 2007 and 2009 (van Asseldonk et al., 2015; van den Brom et al.,
2015). Harmonised schemes for the monitoring and reporting of Q fever in animals are proposed in an
External Scientific Report submitted to EFSA (Sidi-Boumedine et al., 2010).
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The positive cases found in wild and stray animals in Italy demonstrate that Q fever is maintained in
the environment by a wide range of mammals, birds and ticks (EFSA AHAW Panel, 2010).
3.13.
West Nile virus
The Appendix contains hyperlinks to all data summarised for the production of this section, for
humans and animals. It also includes hyperlinks to West Nile virus (WNV)/ West Nile fever (WNF)
summary tables and figures that were not included in this section because they did not trigger any
marked observation. The summarised data are presented in downloadable Excel and PDF files, and
are listed by subject.
3.13.1. West Nile fever in humans
In 2014, 24 MS and one non-MS provided information on WNF in humans. Six MS (Austria, Greece,
Hungary, Italy, Romania and the United Kingdom) reported human cases, four MS less than in 2013.
In total, 77 human cases of WNF, of which 66 confirmed, were reported in the EU in 2014. The EU
notification rate was 0.02 cases per 100,000 population (Table 24). There was a decrease of 0.06 per
100,000 population (71.0%) in the notification rate compared with 2013 (250 cases). As in previous
years, Greece had the highest notification rate (0.14 cases per 100,000 per population) in 2014;
however, surveillance systems vary between countries, making the comparison difficult. Compared
with 2013, notification rates decreased in all countries (for the second year in Greece), apart from
Romania where it remained stable.
All the cases reported in Greece, Hungary and Italy were domestically-acquired. The United Kingdom
reported only travel-associated cases. Romania reported locally acquired cases as well as one travelassociated case. Of the three travel-associated cases reported by EU MS, one was acquired in Bulgaria
and two cases contracted the infection in Africa and in the United States, respectively.
Table 24: Reported human cases of West Nile fever and notification rates per 100,000 population in
the EU/EEA, by country and year, 2010–2014
2014
2013
2012
2011
2010
National Report Confirmed
Total
Total
Total
Total
Total
Country
data
type(a)
cases
cases & rates cases & rates cases & rates cases & rates cases &rates
Cases Rate Cases Rate Cases Rate Cases Rate Cases Rate
Austria
Y
C
1
1
0.01
–
–
0
0.00
0
0.00
0
0.00
Belgium(c)
N
C
0
0
–
0
–
2
–
0
–
0
–
Bulgaria
Y
C
0
0
0.00
0
0.00
4
0.06
–
–
–
–
Croatia
–
–
–
–
–
20
0.48
6
0.14
–
–
–
–
Cyprus
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Czech Republic
Y
C
0
0
0.00
1
0.01
0
0.00
0
0.00
0
0.00
Denmark(b)
–
–
–
–
–
–
–
–
–
–
–
–
–
Estonia
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Finland
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
France(c)
N
C
0
0
0.00
1
–
3
–
1
–
3
–
Germany(b)
–
–
–
–
–
–
–
–
–
–
–
–
–
Greece
Y
C
13
15
0.14
86
0.78
162
1.46
100
0.90
262
2.34
Hungary
Y
C
3
11
0.11
36
0.37
17
0.17
4
0.04
19
0.19
Ireland
Y
C
0
0
0.00
1
0.02
0
0.00
1
0.02
0
0.00
Italy(d)
N
C
24
24
–
79
0.13
28
0.05
14
0.02
5
0.01
Latvia
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Lithuania
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Luxembourg
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Malta
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Netherlands
Y
C
0
0
0.00
0
0.00
0
0.00
1
0.01
1
0.01
Poland
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Portugal(b)
–
–
–
–
–
–
–
–
–
–
–
–
–
Romania
Y
C
23
24
0.12
24
0.12
15
0.08
11
0.06
57
0.28
Slovakia
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
Slovenia
Y
C
0
0
0.00
1
0.05
0
0.00
0
0.00
0
0.00
Spain
Y
C
0
0
0.00
0
0.00
0
0.00
0
0.00
2
0.00
Sweden
Y
C
0
0
0.00
1
0.01
1
0.01
0
0.00
0
0.00
United Kingdom
Y
C
2
2
0.00
0
0.00
0
0.00
0
0.00
0
0.00
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2014
2013
2012
2011
2010
National Report Confirmed
Total
Total
Total
Total
Total
Country
data
type(a)
cases
cases & rates cases & rates cases & rates cases & rates cases &rates
Cases Rate Cases Rate Cases Rate Cases Rate Cases Rate
EU Total
–
–
66
77
0.02
250
0.08
238
0.07
132
0.04
349
0.11
Iceland
–
–
–
–
–
–
–
–
–
–
–
–
–
Switzerland
Y
C
0
0
0
1
0.01
1
0.01
0
0.00
0
0.00
Norway
Y
C
0
0
0
0
0.00
0
0.00
0
0.00
0
0.00
(a): Y: yes; N: no; A: aggregated data report; C: case-based data report;–: no report.
(b): No surveillance system.
(c): Sentinel surveillance; coverage unknown, hence notification rate cannot be estimated.
(d): No national coverage in 2014, hence notification rate not calculated.
WNF has been notifiable at the EU level since 2008. The number of cases varied from year to year
(Figure 50). There was strong seasonality in the number of WNF cases reported in the EU in 2010–
2014, with most cases being reported between July and September. The number of reported cases
usually reached a peak in August, apart from in 2014 where the peak was recorded in September.
300
250
Number of cases
200
150
100
50
Number of cases
12-month moving average
0
Jan 2010
Jul 2010
Jan 2011
Jul 2011
Jan 2012
Jul 2012
Jan 2013
Jul 2013
Jan 2014
Jul 2014
Jan 2015
Month
Source: Czech Republic, Greece, Hungary, Italy, Norway, Romania, Slovenia, Spain and the United Kingdom. Belgium, Cyprus,
Estonia, Finland, France, Ireland, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Slovakia and Sweden
reported zero cases throughout the period. Austria, Bulgaria and Croatia did not report data to the level of detail required for
the analysis. Denmark, Germany and Portugal do not have a surveillance system for this disease.
Figure 50: Trend in reported total cases of human West Nile fever in the EU/EEA, by month of
reporting, 2010–2014
In 2014, a total of 66 neuroinvasive, nine non-neuroinvasive and two unknown infections were
reported by the affected MS. The overall case fatality in the EU for neuroinvasive illness cases was
15.5% (n=7, reported by Greece and Romania) among the 45 probable and confirmed documented
cases.
In Greece, the proportion of neuroinvasive illness cases that died in 2013 (10 out of 51; 20%) was
lower than the proportion neuroinvasive illness cases that died in 2014 (6 out of 14; 43%), while the
case numbers decreased, suggesting that only the more severe cases may have been diagnosed.
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3.13.2. West Nile virus in animals
Comparability of data
Although the reporting of WNV infections in animals is not mandatory, MS can report WNV infections
in animals to the EC in accordance with the Zoonoses Directive 2003/99/EC. This directive specifies
that, in addition to the number of zoonoses and zoonotic agents, for which monitoring is mandatory;
others shall also be monitored when the epidemiological situation so warrants.
Owing to heterogeneity in study design and analytical methods, the reported WNV prevalence in birds
and solipeds from different countries is not directly comparable. Proposals for harmonised schemes for
the monitoring and reporting of WNV in animals can be found in an External Scientific Report
submitted to EFSA (Mannelli et al., 2012).
In 2014, a total of 23,629 animals (solipeds, birds and farmed red deer) were reported to be tested
for WNV, which is more than in 2013 when 21,221 animals were tested. In 2014, 10,246 birds have
been sampled for WNV in seven MS and one non-MS – Belgium (2,789), Croatia (1,230), Germany
(134), Hungary (36), Italy (4,920), Spain (694), the United Kingdom (443) and Switzerland (235). A
total of 180 positive bird samples were reported by Croatia (109), Hungary (1), Italy (53) and Spain
(17) (Figure 51). Only Spain reported the WNV presence to be detected in two birds, which were
positive to a confirmatory test (Table 2014_WNVBIRDS).
Figure 51: Findings of West Nile virus in birds in the EU, in 2014
Furthermore, in 2014, 13,377 solipeds were tested in 12 MS and one non-MS (Croatia, Cyprus, the
Czech Republic, Germany, Greece, Hungary, Italy, Latvia, Romania, Slovakia, Spain, the United
Kingdom and Switzerland) (Table 2014_WNVSOLIP). Eight MS detected 134 test-positive animals:
Croatia (23 confirmatory test-positive), Cyprus (54), the Czech Republic (13), Greece (4), Hungary
(1), Italy (27), Romania (4) and Spain (8) (Figure 52).
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Figure 52: Findings of West Nile virus in domestic solipeds in the EU, in 2014
3.13.3. Discussion
In 2014, the notification rate of WNF in humans in the EU decreased markedly compared with 2013.
Two MS (Hungary and Romania) have reported human cases for nine consecutive years, Italy for
seven years, and Greece for five years. In Greece, the notification rate was higher in 2012 than in
2011 and then decreased again steadily in 2013-2014, but still had the highest notification rate in EU
in 2014; however, surveillance systems vary between countries, making the comparison difficult. WNV
testing may have focused on more severe cases, as suggested by the higher case fatality observed in
Greece during 2014.
Variations and differences in case numbers are partly due to variations and differences in surveillance
systems. It is difficult to compare case numbers and notification rates between countries, because
some report all cases, including asymptomatic and mild cases, while others report only neuroinvasive
cases. Variations in case reporting can also be partly explained by the substantial efforts made to
strengthen the level of detection in the affected countries or in newly affected countries as soon as
the first cases are identified. Health professionals (including blood transfusion safety authorities) are
alerted at the beginning of the season, as are the stakeholders involved in animal and entomological
surveillance. Some countries (e.g. Italy, Greece or Portugal) implemented a mosquito surveillance
scheme to see if increased mosquito activity and early detection of the virus circulation mosquitoes
could be used as an early warning system (Osório et al., 2014). An interactive overview map for both
the EU and neighbouring countries, including at the regional level, is published on the ECDC website
(ECDC, 2012b) with an epidemiological update summarising the WNF season, the weekly updates of
the ECDC West Nile risk map and historical maps.
In 2012, MS agreed to begin reporting on WNV at the EU level under Directive 2003/99/EC on the
monitoring of zoonoses and zoonotic agents. Reporting is focused on birds (prime reservoir hosts) and
other species such as horses that can be infected incidentally. The overall number of tested birds and
solipeds and those found positive increased in 2014 compared with the previous year.
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Seven MS tested for WNV antibodies in birds and Croatia, Italy, Spain and Hungary detected positive
samples. Croatia reported 8.9% poultry screening tests positive but no confirmatory testing was
reported. Croatia also reported confirmatory test-positive horses, indicating acute infection. In Spain,
WNV was detected in two birds that were positive to a sero-neutralisation test allowing discrimination
among infections by different flaviviruses and which is used as confirmation technique. Spain also
reported WNV cases in solipeds which were positive for IgM WNV-specific antibodies, indicating acute
infection. The latter, using an IgM-capture ELISA, was also the case for Croatia and Romania. Greece
reported positive cases using a screening test as well as positive cases for IgM WNV-specific
antibodies indicating acute infections in solipeds; however, no information was reported on the use of
confirmatory tests. Compared to 2013, Cyprus reported the largest increase in positive horses
compared to 2013; however more sampling was implemented in 2014. The Czech Republic reported
positive horses for the third year, but no sampling of birds was reported. Italy, Spain and Greece
reported fewer test-positive solipeds compared with 2013, despite their enhanced surveillance.
3.14.
Tularaemia
The Appendix contains hyperlinks to all data summarised for the production of this section, for
humans and animals. It also includes hyperlinks to tularaemia summary tables and figures that were
not included in this section because they did not trigger any marked observation. The summarised
data are presented in downloadable Excel and PDF files, and are listed by subject.
3.14.1. Tularaemia in humans
In 2014, 28 MS, Iceland and Norway provided information on tularaemia in humans. A total of
480 confirmed cases of tularaemia in humans were reported in the EU. The highest case numbers
were reported from Sweden and Hungary (150 and 140 respectively), 46 cases were reported in
Norway (Table 25). Eleven EU MS (Austria, Belgium, Cyprus, Greece, Ireland, Italy, Latvia,
Luxembourg, Malta, Romania and the United Kingdom) and Iceland reported no human cases. The EU
notification rate was 0.10 cases per 100,000 population, increasing by 43% from 2013. As in the
previous 4 years, the notification rate was highest in Sweden (1.56 per 100,000), slightly exceeding
the rate in 2013 (1.13 per 100,000). The largest increases in notification rate were observed in
Hungary (0.94 per 100,000) and Spain (0.13 per 100,000). Both countries experienced outbreaks.
Less than 1% of tularaemia cases in Europe were reported to be travel-related, but for 46.7% of
cases this information was not available. Germany, Hungary and the Netherlands reported five travelassociated cases, with three of them acquired within another EU country.
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Table 25: Reported human cases of tularaemia and notification rates per 100,000 population in the
EU/EEA, by country and year, 2010–2014
2014
Data
Total
Confirmed
format(a) cases cases & rates
Cases Rate
Austria
Y
C
0
0
0.00
Belgium
Y
C
0
0
0
Bulgaria
Y
A
1
1
0.01
Croatia
Y
C
2
2
0.05
Cyprus
Y
C
0
0
0.00
Czech Republic
Y
C
48
48
0.46
Denmark(b)
–
–
–
–
–
Estonia
Y
C
1
1
0.08
Finland
Y
C
9
9
0.17
France
Y
C
57
19
0.03
Germany
Y
C
21
21
0.03
Greece
Y
C
0
0
0.00
Hungary
Y
C
140
140
1.42
Ireland
Y
C
0
0
0.00
Italy
Y
C
0
0
0
Latvia
Y
C
0
0
0.00
Lithuania
Y
C
4
4
0.14
Luxembourg
Y
C
0
0
0.00
Malta
Y
C
0
0
0.00
Netherlands
Y
C
5
5
0.03
Poland
Y
C
11
11
0.03
Portugal(b)
–
–
–
–
–
Romania
Y
C
0
0
0.00
Slovakia
Y
C
6
6
0.11
Slovenia
Y
C
1
1
0.05
Spain
Y
C
90
62
0.13
Sweden
Y
C
150
150
1.56
United Kingdom
Y
C
0
0
0.00
EU Total
–
–
546
480
0.10
Iceland
Y
C
0
0
0.00
Norway
Y
C
46
46
0.90
Switzerland(b)
Y
C
38
0.46
(a): Y: yes; N: no; A: aggregated data; C: case-based data;
(b): Switzerland provided data directly to EFSA. Liechtenstein has
Country
National
coverage(a)
2013
2012
2011
2010
Confirmed
Confirmed
Confirmed
Confirmed
cases & rates cases & rates cases & rates cases & rates
Cases Rate Cases Rate Cases Rate Cases Rate
2
0.02
2
0.02
0
0.00
3
0.04
1
0.01
0
0.00
0
0.00
0
0.00
1
0.01
0
0.00
0
0.00
3
0.04
2
0.05
1
0.02
–
–
–
–
0
0.00
0
0.00
0
0.00
0
0.00
36
0.34
42
0.40
57
0.54
50
0.48
–
–
–
–
–
–
–
–
1
0.08
0
0.00
2
0.15
0
0.00
15
0.28
233
4.31
75
1.40
91
1.70
21
0.03
5
0.01
16
0.03
22
0.03
20
0.02
21
0.03
17
0.02
31
0.04
0
0.00
0
0.00
0
0.00
0
0.00
48
0.48
18
0.18
15
0.15
126
1.28
0
0.00
0
0.00
0
0.00
0
0.00
1
0.00
2
0.00
0
0.00
1
0.00
0
0.00
6
0.29
0
0.00
0
0.00
4
0.14
3
0.10
0
0.00
1
0.03
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
1
0.01
–
–
–
–
–
–
8
0.02
6
0.02
6
0.02
4
0.01
–
–
–
–
–
–
–
–
1
0.01
0
0.00
0
0.00
4
0.02
9
0.17
8
0.15
5
0.09
17
0.32
2
0.10
4
0.20
0
0.00
0
0.00
0
0.00
1
0.00
1
0.00
1
0.00
108
1.13
590
6.22
350
3.72
484
5.18
0
0.00
0
0.00
0
0.00
1
0.00
279
0.07
942
0.20
544
0.12
839
0.18
0
0.00
0
0.00
0
0.00
0
0.00
28
0.55
50
1.00
180
3.66
33
0.68
29
0.35
40
0.50
15
0.19
14
0.18
no surveillance system.
There was no significant increasing or decreasing trend of confirmed tularaemia cases in 2008–2014
(Figure 53). The peak in 2012 was due to high case numbers in Finland and Sweden. The number of
tularaemia cases varies seasonally peaking mostly between July and October.
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400
Number of cases
300
200
100
Number of cases
12-month moving average
0
Jul 2008 Jan 2009 Jul 2009 Jan 2010 Jul 2010 Jan 2011 Jul 2011 Jan 2012 Jul 2012 Jan 2013 Jul 2013 Jan 2014 Jul 2014
Month
Source: Austria, Czech Republic, Estonia, Finland, France, Germany, Hungary, Italy, Latvia, Norway, Poland, Romania, Slovakia,
Slovenia, Spain, Sweden and the United Kingdom. Cyprus, Greece, Iceland, Ireland, Luxembourg and Malta reported zero cases
throughout the period. Belgium, Bulgaria, Croatia, Lithuania and Netherlands did not report data to the level of detail required
for the analysis. Denmark, Portugal and Liechtenstein do not have a surveillance system for this disease.
Figure 53: Trend in reported confirmed human cases of tularaemia in the EU/EEA, by month of
reporting, 2008–2014
Eight MS provided data on hospitalisation for all or some of their cases, which accounted for 47.1% of
confirmed cases in the EU. On average, 40.7% of confirmed tularaemia cases were hospitalised. Nine
MS provided information on the outcome of their cases which accounted for 49% of all confirmed
cases. No deaths due to tularaemia were reported in 2014.
3.14.2. Francisella tularensis in animals
Only one MS, Sweden, and Switzerland reported on the occurrence of Francisella tularensis in animals
(Table 2014_FRANCISELLAANI). Sweden investigated 31 wild hares and found two positives (6.5%),
which is lower than in 2013 (11 positive out of 37 (29.7%)) and 2012 (12 positive out of 41 tested
(29.3%)). Switzerland reported positive wild hares and one positive monkey in a zoo.
3.14.3. Discussion
Notification rates for tularaemia vary considerably among MS. In previous years, most cases were
diagnosed in Sweden and Finland, followed by Norway, Hungary and the Czech Republic. In 2014, the
majority of cases were reported by Sweden, followed by Hungary and Spain both of which reported
an unusually high number of cases (Luquue-Larena et al., 2015). The notification rate in Finland has
decreased markedly since 2012. The Netherlands has reported tularaemia cases to ECDC only since
2013. In 2014, after more than 50 years without any autochthonous cases, the Netherlands reported
five human cases of tularaemia and three confirmed cases in hares. The human cases were found at
different locations throughout the Netherlands
The occurrence of F. tularensis in wild hares was reported by Sweden and Switzerland. The number of
positive tested hares in Sweden was remarkably lower compared to the previous years. A monkey in a
zoo was also found to be infected in Switzerland.
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3.15.
Other zoonoses and zoonotic agents
3.15.1. Cysticercus
Belgium, Slovenia, Romania and Sweden reported information on Cysticercus bovis (Taenia saginata)
in slaughtered cattle.
In Belgium, 1,172 (0.14%) out of 837,470 cattle inspected at the slaughterhouse were found to be
positive for cysticerci in 2014, of which 18 were heavily infected. This was in line with previous year
2013. Slovenia found two out of 25 tested cattle positive for T. saginata. In Sweden, one cattle out of
431,830 inspected bovine carcases detected was detected as positive for cysticerci, as in 2013.
Sweden tested 2,566,040 pig carcases and reported none positives for T. solium cysticerci, as in 2013.
Romania tested five pigs and five wild boar and found one pig from a mixed farm positive for
T. solium cysticerci.
3.15.2. Sarcocystis
Belgium reported data on Sarcocystis in bovine carcases at the slaughterhouse in 2014. Of the
837,470 carcases inspected, 94 (0.010%) were found to be positive, compared to 0.009% in 2013.
3.16.
Food-borne outbreaks
The Appendix contains hyperlinks to all data summarised for the production of this section, for foodborne outbreaks. It also includes hyperlinks to food-borne outbreaks summary tables and figures that
were not included in this section because they did not trigger any marked observation. The
summarised data are presented in downloadable Excel and PDF files, and are listed by subject.
Comparability of data
It is important to note that the food-borne outbreak investigation systems at the national level are not
harmonised among MS. Therefore, the differences in the number and type of reported outbreaks, as
well as in the causative agents, may not necessarily reflect the level of food safety among MS; rather
they may indicate differences in the sensitivity of the surveillance systems for food-borne outbreaks in
the different MS. In addition, some MS have implemented changes in national systems over time,
which may have had an impact on the number of outbreaks reported by the same MS in different
years.
3.16.1. General overview
The reporting of investigated food-borne outbreaks has been mandatory for EU MS since 2003.
Starting in 2007, harmonised specifications on the reporting of food-borne outbreaks at the EU level
have been applied. Since 2010, revised reporting specifications for food-borne outbreaks were
implemented and the distinction between ‘verified’ and ‘possible’ food-borne outbreaks was
abandoned (EFSA, 2011a). Instead, outbreaks were categorised as having ‘strong evidence’ or ‘weak
evidence’ based on the strength of evidence implicating a suspected food vehicle. In the former case,
i.e. where the evidence implicating a particular food vehicle was strong, based on an assessment of all
available evidence, a detailed dataset was reported for outbreaks. In the latter case, i.e. where no
particular food vehicle was suspected or where the evidence for food-borne outbreaks implicating a
particular food vehicle was weak, only a limited dataset was reported including the number of
outbreaks per causative agent and the number of human cases, hospitalisations and deaths. In this
section, the term ‘weak-evidence outbreak’ also covers outbreaks for which no particular food vehicle
was suspected. From 2014, MS have also had the possibility to report detailed information for weakevidence outbreaks (EFSA, 2014).
Data from 2014 provide information on the total number of reported food-borne outbreaks attributed
to different causative agents, including food-borne outbreaks for which the causative agent was
unknown.
In this general overview, all reported food-borne outbreaks as well as water-borne outbreaks are
included in the tables and figures. In Section 3.16.2, outbreaks are presented in more detail and are
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categorised by the causative agent, excluding strong-evidence water-borne outbreaks. All water-borne
outbreaks with strong-evidence are addressed separately in Section 3.16.3.
In 2014, 26 MS and three non-MS provided data on food-borne outbreaks, whereas no outbreak data
were reported by Cyprus and Luxembourg.
Types of evidence supporting the outbreaks
The classification of outbreaks as either strong- or weak-evidence outbreaks was based on an
assessment of all available evidence, and more than one type of evidence is often reported in one
outbreak. For strong-evidence outbreaks, the types of supporting evidence are:


Epidemiological evidence:

convincing descriptive epidemiological evidence;

well-conducted analytical epidemiological evidence.
Microbiological evidence:

detection of the indistinguishable causative agent in the food vehicle or its component
and in humans;

detection of the indistinguishable causative agent in the food chain or its
environment and in humans;

detection of the causative agent in the food vehicle or its component and symptoms
and onset of illness pathognomonic of the causative agent found in the food vehicle
or its component or in the food chain or its environment;

detection of the causative agent in the food chain or its environment and symptoms
and onset of illness pathognomonic of the causative agent found in the food vehicle
or its component or in the food chain or its environment.
The types of evidence reported for the strong-evidence outbreaks, including strong-evidence waterborne outbreaks, are presented in Table 2014_FBOEVID.
Number of outbreaks and human cases
In 2014, a total of 5,251 food-borne outbreaks, including both weak- and strong-evidence outbreaks,
were reported by 26 MS, compared with 5,196 outbreaks reported by 24 MS in 2013. The overall
reporting rate in 2014 at the EU level was 1.04 outbreaks per 100,000 population (Table 26), which
was a decrease compared to the rate observed in 2013 (1.19 outbreaks per 100,000 population).
As in 2013, Latvia continued to have the highest reporting rate (24.3), followed by Slovakia (8.6) and
Lithuania (8.3) (Table 26 and Figure 55). France reported the largest number of outbreaks and
accounted for 26.0% of all reported outbreaks, followed by Latvia with 9.4% of the total outbreaks
reported.
A total of 592 strong-evidence outbreaks were reported by 21 MS, representing 11.3% of the total
number of food-borne outbreaks recorded in 2014 (Table 26). This was 29.4% less than the number
of strong-evidence outbreaks reported in 2013 (839 outbreaks). The highest numbers of strongevidence outbreaks were reported by Spain, France and Poland, accounting for 56.8% of the total
number of reported strong-evidence outbreaks in 2014 (Table 26). As in previous years, a variation is
seen among the MS in the proportion of reported strong- and weak-evidence outbreaks (Figure 55).
Overall, the 5,251 outbreaks reported by the MS involved 45,665 human cases, 6,438 hospitalisations
and 27 deaths. The 71 outbreaks reported in total by the non-MS (Iceland, Norway and Switzerland)
comprised 1,153 cases with nine hospitalisations and four fatal cases. It is important to mention that
for some outbreaks the number of involved cases is unknown.
In the 592 strong-evidence outbreaks reported in the EU, a total of 12,770 cases were involved, of
which 1,476 people (11.6%) were admitted to hospital and 15 people died (0.12%). In these three
non-MS, 16 strong-evidence outbreaks were reported involving 358 human cases with six
hospitalisations and four deaths (Table 26). Of the 15 fatalities related to strong-evidence outbreaks
reported in the EU, 11 were associated with Salmonella, three with Clostridium perfringens
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(C. perfringens) toxins and one with mushroom toxins. In addition, Switzerland reported four fatal
cases related to a strong-evidence outbreak caused by Listeria.
Further details on the number of food-borne outbreaks and human cases reported in the EU and in
non-MS in 2014 can be found in Table 26.
Table 26: Number of all food-borne outbreaks and human cases in the EU, 2014
Country
Strong-evidence outbreaks
Number
Austria
13
Belgium
16
Bulgaria
0
Croatia
25
Czech Republic
0
Denmark
31
Estonia
0
Finland
16
France
122
Germany
28
Greece
1
Hungary
13
Ireland
3
Italy
0
Latvia
3
Lithuania
11
Malta
0
Netherlands
6
Poland
71
Portugal
6
Romania
13
Slovakia
8
Slovenia
4
Spain
143
Sweden
14
United Kingdom
45
Iceland
4
Norway
5
Switzerland
7
Total (MS)
592
Weak-evidence outbreaks
Cases Hospitalised Deaths Number Cases Hospitalised Deaths
601
71
1
83
189
50
0
387
37
0
354
1,402
27
0
0
0
0
14
130
36
0
256
37
0
19
109
12
0
0
0
0
37
1,100
239
0
1,667
15
0
26
521
8
0
0
0
0
6
12
10
0
555
17
0
25
423
4
0
1,646
116
0
1,242 10,416
530
2
788
156
4
402
1,516
327
2
13
1
0
3
113
2
0
776
63
2
24
931
49
0
9
4
0
17
125
1
0
0
0
0
1
4
1
0
22
18
0
488
1,282
910
0
143
89
0
236
585
496
0
0
0
0
22
91
7
0
107
3
0
201
1,548
22
1
910
323
2
311
3,758
896
5
193
55
0
19
709
58
0
262
138
0
14
117
61
0
372
72
0
457
2,401
985
0
178
32
0
4
47
5
0
2,130
183
2
291
2,699
194
2
489
3
0
338
1,843
11
0
1,266
43
4
25
824
21
0
39
0
0
1
3
0
0
188
0
0
50
751
0
0
131
6
4
4
41
3
0
12,770
1476
15
4,659 32,895
4,962
12
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Total
outbreaks
Reporting rate
per 100,000
96
370
14
44
37
57
6
41
1,364
430
4
37
20
1
491
247
22
207
382
25
27
465
8
434
352
70
5
55
11
5,251
1.14
3.31
0.19
1.03
0.35
1.02
0.45
0.76
2.08
0.53
0.04
0.37
0.44
0
24.26
8.31
5.22
1.23
0.99
0.24
0.13
8.59
0.39
0.93
3.68
0.11
1.55
1.09
0.14
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Figure 54: Reporting rate per 100,000 population in Member States and non-Member States, 2014
Figure 55: Distribution of food-borne outbreaks in Member States and non-Member States, 2014
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Causative agents
Within the EU, the causative agent was known in 70.9% of the reported outbreaks (Table 27 and
Figure 56). In 2014, food-borne viruses were, for the first time, identified as the most commonly
detected causative agent in the reported food-borne outbreaks (20.4% of all outbreaks), followed by
Salmonella (20% of all outbreaks), bacterial toxins (16.1% of all outbreaks) and Campylobacter (8.5%
of all outbreaks). Other agents each accounted for 2.7% or less of the food-borne outbreaks.
The number of viral food-borne outbreaks within the EU varied during the 6-year period 2008–2014.
After a peak in 2009 of 1,043 reported outbreaks, the number of reported viral food-borne outbreaks
in the EU decreased until 2011. Since 2011, the number of outbreaks caused by viruses has more
than doubled (from 525 in 2011 to 1,072 in 2014) and in 2014 reached the highest level yet reported
(Figure 57). The total number of Salmonella outbreaks in 2014 decreased compared with 2013 (from
1,168 outbreaks to 1,049). From 2008, when there were 1,888 outbreaks due to Salmonella, the
number of outbreaks has decreased markedly by 44.4%. In outbreaks due to Campylobacter and
bacterial toxins, an increase was observed between 2013 and 2014, of 7.7% and 1.1%, respectively
(Figure 57).
Within all the strong-evidence outbreaks reported in the EU, the causative agent was known in 92.6%
of the cases. Salmonella was the most frequent causative agent of strong-evidence outbreaks (38.2%
of the outbreaks), followed by bacterial toxins and viruses, responsible for 18.4% and 14.2% of
outbreaks, respectively (Table 27).
Considering the outbreaks reported for each individual causative agent, the highest proportion of
strong-evidence outbreaks was reported for parasites (51.5%), followed by the group of ‘other
causative agents’ (41.4%), pathogenic E. coli – excluding VTEC (23.3%) and Salmonella (21.5%)
(Table 27, Figure 56)
Further details of the number of food-borne outbreaks and human cases per causative agent reported
in the EU in 2014 can be found in Table 27 and Figure 56.
Food vehicle
In 2014, the food vehicle was reported in all 592 strong-evidence outbreaks, even though 41
outbreaks (6.9%) were linked to ‘other foods’ with no additional information on the implicated food
vehicle. As in previous years, ‘eggs and egg products’ was the most common food vehicle associated
with strong-evidence outbreaks (18.2%), followed by ‘mixed food’ (12.8%), ‘crustaceans, shellfish,
molluscs and products thereof’ (8.1%) and ‘vegetables and juices’ (7.1%). The latter has increased
from 2013, where ‘vegetables and juices’ were reported in 4.4% of the outbreaks. The food vehicle
‘crustaceans, shellfish, molluscs and products thereof’ was mainly associated with outbreaks caused
by calicivirus (Norwalk-like virus) and corresponds to 58.3% of these outbreaks. The distribution of
the strong-evidence outbreaks by food vehicle in the EU is shown in Figure 58.
Information on suspected contributory factors was reported for 91.6% of the strong-evidence
outbreaks, even though for 258 outbreaks these factors were reported to be either ‘unknown’ or
‘other contributory factor’. In 51 (8.6%) strong-evidence outbreaks inadequate heat treatment was
reported as a contributing factor, an infected food handler was reported as contributing factor in 43
(7.3%) outbreaks, inadequate chilling was indicated in 23 (3.9%) outbreaks, followed by crosscontamination that was reported as a contributing factor in 19 (3.2%) outbreaks. A combination of
different contributory factors was reported for 93 (15.7%) strong-evidence outbreaks.
Information on the food vehicle was also provided for all 4,659 weak-evidence outbreaks reported by
the EU MS, even though no detail on the implicated food (indicated as either ‘unknown’ or ‘other
foods’) was provided for 3,401 outbreaks (73%). Where detailed information on the food vehicle was
reported for the weak-evidence outbreaks, ‘mixed food’ was the most frequently reported food vehicle
(360 outbreaks), followed by ‘eggs and egg products’ (130 outbreaks), ‘crustaceans, shellfish,
molluscs and products thereof’ (106 outbreaks) and ‘fish and fishery products’ (105 outbreaks).
Setting
The term setting gives information about the place of exposure to the implicated food that causes the
outbreak and typically refers to the location where the food was consumed (e.g. household,
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restaurant/café/pub/bar/hotel) or where the final stages of preparation took place (e.g. canteen or
workplace catering, household). This information was provided in 96.8% of the 592 strong-evidence
outbreaks, although the setting was reported as either ‘others’ or ‘unknown’ in 15.0% of the
outbreaks. The category ‘household’ was the most commonly reported setting (37.3%), followed by
‘restaurant, café, pub, bar, hotel’ (26.0%), ‘school or kindergarten’ (5.4%) and ‘residential institution’
(nursing home, prison or boarding school) (4.6%). The distribution of the strong-evidence outbreaks
by setting in the EU is shown in Figure 59.
Where information on the place of exposure was provided for the weak-evidence outbreaks, the most
commonly reported settings were ‘household’ (610 outbreaks) and ‘restaurant, café, pub, bar, hotel’
(597 outbreaks). However, it should be noted that information on the place of exposure was either
not reported or reported as ‘unknown’ or ‘others’ for 3,083 weak-evidence outbreaks (66.2% of the
total outbreaks).
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Table 27: Number of outbreaks and human cases per causative agents in food-borne outbreaks in the EU (including water-borne outbreaks), 2014
Country
Strong-evidence outbreaks
Number
%
Viruses
84
14.19
3,654
112
Salmonella
226
38.18
3,677
Bacterial toxins
109
18.41
Campylobacter
31
5.24
Other causative agents
58
Other bacterial agents
Weak-evidence outbreaks
Reporting rate
per 100,000
Number
%
Cases
Hospitalised
Deaths
0
988
21.2
8,086
2,374
2
1,072
20.41
890
11
823
17.66
5,617
1,059
3
1,049
19.98
3,026
187
3
734
15.75
6,342
405
2
843
16.05
525
40
0
415
8.91
1,383
149
0
446
8.49
9.8
238
38
1
82
1.76
322
33
1
140
2.67
8
1.35
101
12
0
47
1.01
398
69
1
55
1.05
E. coli, pathogenic –
verotoxigenic E. coli (VTEC)
7
1.18
138
8
0
34
0.73
147
28
0
41
0.78
Parasites
17
2.87
287
82
0
16
0.34
62
4
0
33
0.63
E. coli, pathogenic
7
1.18
448
90
0
23
0.49
288
15
0
30
0.57
Yersinia
1
0.17
55
4
0
10
0.21
153
5
0
11
0.21
Unknown
44
7.43
621
13
0
1,487
31.91
10,097
821
3
1,531
29.15
Total
592
100
12,770
1,476
15
4,659
100
32,895
4,962
12
5,251
100
(excluding VTEC)
Cases Hospitalised Deaths
Total
outbreaks
Food-borne viruses include adenovirus, calicivirus, hepatitis A virus, flavivirus, rotavirus and other unspecified viruses. Bacterial toxins include toxins produced by Bacillus, Clostridium and
Staphylococcus. Other causative agents include chemical agents, histamine, lectin, marine biotoxins, mushroom toxins and wax esters (from fish). Parasites include primarily Trichinella, but also
Cryptosporidium, Giardia and Anisakis. Other bacterial agents include Brucella, Listeria, Shigella, Vibrio parahaemolyticus and other unspecified bacteria agents.
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Food-borne viruses include adenovirus, calicivirus, hepatitis A virus, flavivirus, rotavirus and other unspecified viruses. Bacterial
toxins include toxins produced by Bacillus, Clostridium and Staphylococcus. Other causative agents include chemical agents,
histamine, lectin, marine biotoxins, mushroom toxins and wax esters (from fish). Parasites include primarily Trichinella, but also
Cryptosporidium, Giardia and Anisakis. Other bacterial agents include Brucella, Listeria, Shigella, Vibrio parahaemolyticus and
other unspecified bacteria agents. In this figure, outbreaks due to pathogenic E. coli other than VTEC and VTEC outbreaks have
been aggregated into the category 'E. coli (including VTEC)'.
Figure 56: Distribution of all food-borne outbreaks per causative agent in the EU, 2014
Food-borne viruses include adenovirus, calicivirus, hepatitis A virus, flavivirus, rotavirus and other unspecified viruses. Bacterial
toxins include toxins produced by Bacillus, Clostridium and Staphylococcus. Other causative agents include chemical agents,
histamine, lectin, marine biotoxins, mushroom toxins and wax esters (from fish). Parasites include primarily Trichinella, but also
Cryptosporidium, Giardia and Anisakis. Other bacterial agents include Brucella, Listeria, Shigella, Vibrio parahaemolyticus and
other unspecified bacteria agents. In this figure, outbreaks due to pathogenic Escherichia coli other than VTEC and VTEC
outbreaks have been aggregated into the category 'E. coli (including VTEC)'.
Figure 57: Total number of food-borne outbreaks in the EU, 2008–2014
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Sweets and chocolate, 1.5%
Fruit, berries and juices and
other products thereof, 1.4%
Bovine meat and products Cheese, 1.5%
thereof, 2.0%
Tap water, including well
water, 2.0%
Eggs and egg products
Milk and dairy products, 2.4%
Buffet meals, 3.2%
N=592
18.2%
Other or mixed meat and
products thereof
4.9%
5.9%
Bakery products
Mixed food
12.8%
6.3%
Broiler meat (Gallus gallus)
and products thereof
6.6%
9.3%
6.8%
Pig meat and products thereof
8.1%
Other foodstuffs
7.1%
Fish and fish products
Vegetables and juices and
other products thereof
Crustaceans, shellfish,
molluscs and products thereof
Data from 592 outbreaks with strong evidence are included: Austria (13), Belgium (16), Croatia (25), Denmark (31), Finland
(16), France (122), Germany (28), Greece (1), Hungary (13), Ireland (3), Latvia (3), Lithuania (11), Netherlands (6), Poland
(71), Portugal (6), Romania (13), Slovakia (8), Slovenia (4), Spain (143), Sweden (14) and the United Kingdom (45).
Other foodstuffs (N=55) include: canned food products (2), cereal products including rice and seeds/pulses (nuts, almonds) (7),
drinks, including bottled water (1), other foods (45). Other or mixed meat and products thereof (29) include: turkey meat and
products thereof (4), sheep meat and products thereof (2), meat and meat products (7), other or mixed red meat and products
thereof (14), other, mixed or unspecified poultry meat and products thereof (2). Milk and dairy products (14) include: milk (10)
and dairy products other than cheeses (4).
Figure 58: Distribution of strong-evidence outbreaks by food vehicle in the EU, 2014
Temporary mass catering
(fairs or festivals), 2.5%
Canteen or workplace
catering, 3.0%
Hospital or medical care
facility, 1.5% Take-away or fast-food
outlet, 1.4%
Camp or picnic, 1.7%
Residential institution
(nursing home or prison
or boarding school), 4.6%
Disseminated cases,
0.7%
N=592
Unknown or not specified
5.9%
School or kindergarten
5.4%
Household
Other settings
37.3%
10.0%
26.0%
Restaurant or Cafe or
Pub or Bar or Hotel or
Catering service
Data from 592 outbreaks are included: Austria (13), Belgium (16), Croatia (25), Denmark (31), Finland (16), France (122),
Germany (28), Greece (1), Hungary (13), Ireland (3), Latvia (3), Lithuania (11), the Netherlands (6), Poland (71), Portugal (6),
Romania (13), Slovakia (8), Slovenia (4), Spain (143), Sweden (14) and the United Kingdom (45).
Other settings (n=59) include: farm (3), mobile retailer, market/street vendor (1), multiple places of exposure in one country
(1) and other settings (54). Unknown or not specified (35) include: unknown (16) and 19 outbreaks for which information on
the setting was not provided.
Figure 59: Distribution of strong-evidence outbreaks by settings in the EU, 2014
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3.16.2. Overview by causative agent
Agent-specific information on the reported food-borne outbreaks can be found in this section. The
figures of outbreaks presented here do not include water-borne outbreaks, which are addressed
separately in Section 3.16.3.
Viruses
Overall, 18 MS reported a total of 1,070 food-borne outbreaks caused by viruses (excluding two weakevidence water-borne outbreaks) (Table 28); this represents an increase by 105.4% since 2011, when
521 food-borne outbreaks (excluding water-borne outbreaks) were reported. In 2014, only 84 (7.6%)
of the reported food-borne outbreaks caused by viruses in the EU were supported by strong-evidence,
and these were reported by 14 MS.
In 2014, the overall reporting rate in the EU was 0.27 outbreaks per 100,000 population, which is an
increase from 2013 where the overall reporting rate was 0.23 per 100,000 population. Overall, the
outbreaks implicated 11,740 cases, 2,486 hospitalisations and 2 deaths. Latvia reported the highest
number of outbreaks (33.1% of all reported food-borne outbreaks caused by viruses), which were all
weak-evidence outbreaks, followed by Lithuania (18.7%) and Slovakia (12.8%). However, it should be
noted that the total number of outbreaks reported by Latvia (including 85 outbreaks caused by
norovirus and 269 outbreaks caused by rotavirus) comprise together undistinguishable food-borne and
contact-related outbreaks caused by norovirus and rotavirus, with a consequent likely overestimation
of the total number of viral food-borne outbreaks reported by Latvia. Denmark and France reported
the highest number of strong-evidence outbreaks due to viruses (16 outbreaks each). In addition, two
non-MS (Norway and Switzerland) reported 16 outbreaks (Table 28).
In the 84 strong-evidence outbreaks caused by viruses, ‘crustaceans, shellfish, molluscs and products
thereof’ was the most commonly implicated food vehicle (44.7% of outbreaks), followed by ‘buffet
meals’ (15.8% of outbreaks), ‘mixed food’ (13.2%) and ‘fruit’ and ‘berries and juices’ (both 5.3%).
Information on the type of outbreak was reported for 77 out of the 84 strong-evidence outbreaks: 60
were general outbreaks, and 17 were household/domestic kitchen outbreaks. The place of exposure
most frequently reported was ‘restaurant, café, pub, bar, hotel’ (31 outbreaks), followed by the
household (16 outbreaks).
The two most often reported contributory factors for the strong-evidence virus outbreak were
reported as ‘unknown’ in 31 outbreaks and as an ‘infected food handler’ in 24 of 84 strong-evidence
outbreaks.
The number of the strong-evidence outbreaks caused by the different viral agents and related cases
are presented in Table 29.
Detailed outbreak information (e.g. on the food vehicle, place of exposure, contributing factors, etc.)
was only rarely reported for weak-evidence food-borne outbreaks caused by viruses.
Table 28: Strong- and weak-evidence food-borne outbreaks caused by viruses (excluding waterborne outbreaks) in the EU, 2014
Country
Austria
Belgium
Croatia
Czech Republic
Denmark
Finland
France
Germany
Hungary
Latvia(a)
Lithuania
Netherlands
Poland
Strong-evidence outbreaks
Weak-evidence outbreaks
Total
Reporting rate
Number Cases Hospitalised Deaths Number Cases Hospitalised Deaths outbreaks per 100,000
3
2
1
0
16
5
16
2
4
0
2
2
7
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220
26
0
1,047
121
137
247
350
0
45
22
232
8
0
0
0
1
10
6
0
0
0
45
0
33
0
0
0
0
0
0
0
0
0
0
0
0
0
1
3
1
2
8
4
85
44
4
354
198
23
76
153
2
55
8
100
292
94
970
424
174
892
503
691
1,210
0
0
0
24
0
1
50
145
1
668
431
0
292
0
0
0
0
0
0
1
0
0
0
0
0
1
4
5
2
2
24
9
101
46
8
354
200
25
83
0.05
0.04
0.05
0.02
0.43
0.17
0.15
0.06
0.08
17.49
6.73
0.15
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Country
Strong-evidence outbreaks
Weak-evidence outbreaks
Total
Reporting rate
Number Cases Hospitalised Deaths Number Cases Hospitalised Deaths outbreaks per 100,000
Portugal
0
0
0
0
5
243
0
0
5
0.05
Slovakia
0
0
0
0
137
1,270
755
0
137
2.53
Spain
10
362
7
0
15
303
3
0
25
0.05
Sweden
4
188
0
0
17
382
2
0
21
0.22
United Kingdom
10
349
2
0
9
381
2
0
19
0.03
Norway
3
48
0
0
12
259
0
0
15
0.3
Switzerland
0
0
0
0
1
3
1
0
1
0.01
Total (MS)
84
3,654
112
0
986
7,994
2,374
2
1,070
0.27
(a): Latvian data comprise together undistinguishable food-borne and contact-related outbreaks caused by norovirus and
rotavirus, with a consequent likely overestimation of the total number of viral food-borne outbreaks reported. Therefore,
the total number of outbreaks caused by viruses reported by Latvia should not be considered comparable with data from
other countries.
Table 29: Strong-evidence food-borne outbreaks caused by viruses (excluding strong-evidence
water-borne outbreaks) in the EU, 2014
Causative agent
Calicivirus – norovirus
(Norwalk-like virus)
Flavivirus
Hepatitis A virus
Rotavirus
Viruses
Total (MS)
Country
Austria
Belgium
Denmark
Finland
France
Germany
Hungary
Lithuania
Netherlands
Poland
Spain
Sweden
United Kingdom
Norway
Lithuania
Finland
France
Norway
Croatia
Poland
Spain
France
Spain
Number
3
2
16
4
14
2
4
1
2
6
8
4
10
2
1
1
1
1
1
1
1
1
1
84
Strong-evidence outbreaks
Cases
Hospitalised
308
8
220
0
1,047
1
109
0
128
3
247
0
350
0
41
41
22
0
230
31
326
6
188
0
349
2
15
0
4
4
12
10
3
3
33
0
26
0
2
2
5
1
6
0
31
0
3,654
112
Deaths
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Calicivirus
Calicivirus (all reported cases were norovirus) was the most commonly reported virus implicated in the
strong-evidence outbreaks (76 norovirus outbreaks out of 84 strong-evidence outbreaks caused by
virus) and accounted for 97.6% (3,565 cases) of cases, and 29.6% of these cases was reported by
Denmark (Table 29). The distribution of food vehicles in strong-evidence outbreaks caused by
norovirus in the EU is shown in Figure 60.
In addition, 345 weak-evidence outbreaks were reported as being caused by norovirus, and two
weak-evidence outbreaks as being caused by sapovirus (Sapporo-like virus).
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Bakery products,
3.9%
Meat, 3.9%
Other foods
Fruit, berries and
juices and other
products thereof
Crustaceans,
shellfish,
molluscs and
products thereof
6.6%
Buffet meals
36.8%
6.6%
14.5%
Vegetables and
juices and other
products thereof
22.4%
N=76
Mixed food
Figure 60: Distribution of food vehicles in strong-evidence outbreaks caused by norovirus in the EU,
2014
Salmonella
In 2014, 23 MS reported a total of 1,048 food-borne outbreaks caused by Salmonella (excluding one
strong-evidence water-borne outbreak). The total number of Salmonella outbreaks within the EU
decreased by 44.4% between 2008 (1,888 food-borne outbreaks) and 2014 (1,048 outbreaks). This
corresponds with the decreasing trend in the number of human Salmonella cases in general. In 2014,
the reporting rate for the annual total number of Salmonella outbreaks in the EU was 0.24 per
100,000 population. Overall, the outbreaks involved 9,226 cases, 1,944 hospitalisations and
14 deaths. Slovakia reported the highest number of outbreaks (200) followed by France and Poland
(177 and 165 outbreaks, respectively). In total, 16 MS reported 225 Salmonella outbreaks with strongevidence (21.5%). Spain, Poland and France together reported 67.1% of the strong-evidence
outbreaks. Two non-MS (Norway and Switzerland) reported in total three outbreaks. Detailed
information on the distribution of the food-borne outbreaks (excluding water-borne outbreaks) of
human salmonellosis in the different EU MS and non-MS, the number of cases, hospitalisations and
deaths, are summarised in Table 30.
In total, 14 fatal Salmonella cases were reported from eight Salmonella outbreaks, of which five were
reported as strong-evidence outbreaks. Four outbreaks were due to S. Enteritidis of which two strongevidence outbreaks were caused by S. Enteritidis PT14b and one strong-evidence outbreak was due to
S. Enteritidis PT8. One of the S. Enteritidis outbreaks was reported as a weak-evidence outbreak. In
addition, one strong-evidence outbreak was due to S. Muenchen (see text box below) and one was
reported as due to ‘unspecified’ Salmonella.
Table 30: Strong- and weak-evidence food-borne outbreaks caused by Salmonella (excluding strongevidence water-borne outbreaks), 2014
Country
Austria
Belgium
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
France
Germany
Hungary
Ireland
Latvia
Strong-evidence outbreaks
Weak-evidence outbreaks
Total
Reporting rate
Number Cases Hospitalised Deaths Number Cases Hospitalised Deaths outbreaks per 100,000
7
287
60
1
40
94
29
0
47
0.56
3
68
4
0
2
12
1
0
5
0.04
0
0
0
0
1
69
9
0
1
0.01
18
121
22
0
11
33
7
0
29
0.68
0
0
0
0
30
783
87
0
30
0.29
4
71
7
0
6
88
4
0
10
0.18
0
0
0
0
3
6
6
0
3
0.23
42
379
79
0
135
925
131
0
177
0.27
9
312
93
4
122
472
102
1
131
0.16
4
150
40
2
8
294
41
0
12
0.12
0
0
0
0
3
5
1
0
3
0.07
2
7
4
0
18
90
29
0
20
0.99
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Country
Lithuania
Malta
Netherlands
Poland
Portugal
Romania
Slovakia
Slovenia
Spain
Sweden
United Kingdom
Norway
Switzerland
Total (MS)
Strong-evidence outbreaks
Weak-evidence outbreaks
Total
Reporting rate
Number Cases Hospitalised Deaths Number Cases Hospitalised Deaths outbreaks per 100,000
6
78
41
0
23
50
34
0
29
0.98
0
0
0
0
7
48
5
0
7
1.66
1
74
3
0
7
110
20
1
8
0.05
54
520
185
1
111
687
220
1
165
0.43
0
0
0
0
1
152
0
0
1
0.01
3
124
91
0
1
15
15
0
4
0.02
8
372
72
0
192
615
165
0
200
3.7
4
178
32
0
4
47
5
0
8
0.39
55
716
139
0
88
743
139
0
143
0.31
0
0
0
0
5
34
0
0
5
0.05
5
152
13
3
5
245
9
0
10
0.02
0
0
0
0
1
17
0
0
1
0.02
2
34
0
0
0
0
0
0
2
0.02
225
3,609
885
11
823
5,617
1,059
3
1,048
0.24
As in previous years, ‘eggs and egg products’ were the most frequently identified food vehicles,
associated with 44.0% of the reported Salmonella strong-evidence outbreaks (44.9% in 2013).
France, Poland and Spain together reported 69.7% of these outbreaks. Bakery products accounted for
12.9% outbreaks (5.1% in 2013) and pig meat and products thereof for 9.3% of the outbreaks (as in
2013). In addition, in 2014, one water-borne strong-evidence outbreak caused by Salmonella was
reported by Croatia. Figure 61 shows the distribution of the most common food vehicles implicated in
the strong-evidence Salmonella outbreaks in 2014. The most common food vehicles reported for the
weak-evidence outbreaks were, as for strong-evidence outbreaks, eggs and egg products, which
accounted for 44.4% of the 180 weak-evidence outbreaks for which detailed information on food
vehicle was provided. However, no detailed information on the food vehicle was provided for the
majority of the weak-evidence outbreaks (643 outbreaks), where the food vehicle was reported as
either ‘unknown’ or ‘other foods’.
Buffet meals, 2.7%
Bovine meat and
products thereof, 2.2%
Meat and meat products,
3.1%
Sweets and chocolate,
3.1%
Cheese, 3.1%
Vegetables and juices
and other products
thereof, 1.3%
Milk, 0.9%
Crustaceans, shellfish,
molluscs and products
thereof, 0.9%
Broiler meat (Gallus
gallus) and products
thereof, 3.6%
Mixed food
Other foodstuffs
6.2%
44.0%
6.7%
Eggs and egg products
9.3%
Pig meat and products
thereof
N=225
12.9%
Bakery products
Data from 225 outbreaks are included: Austria (7), Belgium (3), Croatia (18), Denmark (4), France (42), Germany (9), Hungary
(4), Latvia (2), Lithuania (6), the Netherlands (1), Poland (54), Romania (3), Slovakia (8), Spain (55) and the United Kingdom
(5). This graph does not include one water-borne outbreak caused by Salmonella.
Other foodstuffs (n=15) include: cereal products including rice and seeds / pulses (nuts, almonds) (1) and other foods (14).
Meat and meat products (n=7) include: meat and meat products (3), other or mixed red meat and products thereof (3), and
Turkey meat and products thereof (1).
Figure 61: Distribution of food vehicles in strong-evidence outbreaks caused by Salmonella in the
EU, 2014
In 2014, information on the type of outbreak was reported for 216 of the strong-evidence Salmonella
outbreaks: 92 were general outbreaks and 124 were household/domestic kitchen outbreaks. The
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latter were mainly reported by Poland (41 outbreaks) followed by France (31 outbreaks) and Spain
(27 outbreaks).
The most frequently reported setting in strong-evidence Salmonella outbreaks was ‘household’
(129 outbreaks), followed by ‘restaurant, café, pub, bar, hotel’ (41 outbreaks), and ‘schools and
kindergarten’ (10 outbreaks). The most common setting reported for the weak-evidence outbreaks
was, as for strong-evidence outbreaks, ‘household’ (193 outbreaks) and ‘restaurant, café, pub, bar,
hotel’ (55 outbreaks). However, for the majority of the weak-evidence outbreaks (545 outbreaks) the
information on the type of setting was either not provided or reported as ‘unknown’ or ‘others’.
Inadequate heat treatment (27 outbreaks) was the most frequently reported factor implicated in the
strong-evidence Salmonella outbreaks, followed by cross-contamination and an infected food handler
(both accounted for 10 outbreaks).
In 2014, 142 outbreaks with strong-evidence were caused by S. Enteritidis, which is a decrease of
31.4% compared with 2013. As in previous years, ‘eggs and egg products’ were the food vehicles
most frequently associated with S. Enteritidis outbreaks. However, this proportion decreased from
59.9% in 2013 to 46.1% in 2014. S. Typhimurium was implicated in 12.0% of the strong-evidence
outbreaks (27 outbreaks). ‘Pig meat and products thereof’ was, as in 2013, the most common food
vehicle category associated with S. Typhimurium outbreaks where the source was known (48.1%).
The distribution of food vehicles in strong-evidence outbreaks caused by S. Enteritidis and
S. Typhimurium
in
the
EU
is
shown
in
Figures
2014_FBOSALMENTVEHIC
and
2014_FBOSALMTYPVEHIC.
For those food-borne outbreaks where a phage type (PT) was reported, the most common type
reported was S. Enteritidis PT8 and PT14b (18 and 12 outbreaks, respectively).
Germany reported one food-borne outbreak of Salmonella Muenchen affecting 164 people, of which
60 were hospitalised and four persons died. This was a general outbreak and was associated with the
consumption of various pork products, mostly raw, in private households and in a residential
institution. A large investigation was conducted including both analytical and descriptive epidemiology,
microbiological testing with detection of the causative agent in the food chain and detection of the
indistinguishable causative agent in the human cases. The outbreak strain was detected in various
food samples and in primary pig production. Even though a product tracing investigation was
conducted, the complete movements of all the incriminated products could not be followed.
[Source: complementary information provided by Germany to EFSA in the context of the 2014 data
reporting on zoonoses and food-borne outbreaks]
Bacterial toxins
In this report the category ‘bacterial toxins’ includes toxins produced by Bacillus, Clostridium and
Staphylococcus.
In 2014, 18 MS reported a total of 840 food-borne outbreaks caused by bacterial toxins (excluding
three water-borne outbreaks) (Table 27), which represents a slight increase compared with 2013. In
addition, 10 outbreaks caused by bacterial toxins were reported by the non-MS: three strong-evidence
outbreaks reported by Iceland and Switzerland, respectively and four weak-evidence outbreaks
reported by Norway.
Bacillus toxins
In 2014, 12 MS reported 287 outbreaks caused by Bacillus toxins, representing 5.5% of all outbreaks
reported within the EU. This is a small increase (3.2%) compared with 2013, when nine MS reported
278 Bacillus toxin outbreaks. The overall reporting rate in the EU was 0.1 per 100,000 population. As
in 2013, France reported the majority (89.9%) of these outbreaks, which included 2,432 human
cases, 89 hospitalisations and no deaths Table 31.
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Table 31: Strong- and weak-evidence food-borne outbreaks caused by Bacillus toxins (excluding
strong-evidence water-borne outbreaks), 2014
Country
Belgium
Czech Republic
Denmark
Finland
France
Germany
Hungary
Netherlands
Poland
Portugal
Spain
Sweden
Iceland
Norway
Switzerland
Total (MS)
Strong-evidence outbreaks
Weak-evidence outbreaks
Number Cases Hospitalised Deaths Number Cases Hospitalised Deaths
4
20
0
0
7
26
0
0
0
0
0
0
1
110
110
0
1
4
0
0
1
7
0
0
2
55
0
0
0
0
0
0
19
437
18
0
239 1,995
71
0
2
9
0
0
0
0
0
0
1
170
15
0
0
0
0
0
2
9
0
0
0
0
0
0
0
0
0
0
2
152
11
0
3
57
32
0
0
0
0
0
1
18
0
0
0
0
0
0
0
0
0
0
2
4
0
0
3
36
0
0
0
0
0
0
0
0
0
0
4
24
0
0
1
41
4
0
0
0
0
0
35
779
65
0
252 2,294
192
0
Total
Reporting rate
outbreaks per 100,000
11
1
2
2
258
2
1
2
2
3
1
2
3
4
1
287
0.1
0.01
0.04
0.04
0.39
0
0.01
0.01
0.01
0.03
0
0.02
0.93
0.08
0.01
0.09
In the 35 strong-evidence Bacillus toxin outbreaks, ‘mixed food’ was the most commonly implicated
food vehicle (34.3% of outbreaks), followed by ‘cereal products’ (11.4% of outbreaks). ‘Broiler meat’,
‘crustaceans, shellfish and molluscs’ and ‘vegetables and juices’ accounted for 5.7% of the strongevidence outbreaks. The distribution of food vehicles in strong-evidence outbreaks caused by Bacillus
toxins is shown in Figure 2014_FBOBACILLUSVEHIC. Detailed information on the implicated food
vehicle was only provided for 116 of the 252 weak-evidence outbreaks, which were mostly associated
with the consumption of ‘mixed food’.
Information on the type of outbreak was available for all the strong-evidence Bacillus outbreaks:
32 were general outbreaks, and three were household/domestic kitchen outbreaks. The two most
frequently reported settings were ‘restaurant, café, pub, bar, hotel’ and ‘canteen or workplace
catering’ (six outbreaks each), followed by ‘school and kindergarten’ (four outbreaks). In nine
outbreaks the setting was reported as ‘others’. The most common setting reported for the weakevidence outbreaks was, as for strong-evidence outbreaks, ‘restaurant, café, pub, bar, hotel’ (110
outbreaks) and household (50 outbreaks). The most common contributory factors reported for the
strong-evidence outbreaks were ‘storage time/temperature abuse’ and ‘unprocessed contaminated
ingredient’, in five outbreaks each.
Clostridium toxins
Thirteen MS reported 160 food-borne outbreaks caused by C. perfringens (124 outbreaks),
C. botulinum (9 outbreaks) or unspecified Clostridia (27 outbreaks). This represents 3.1% of all
outbreaks and is comparable with 2013, when 12 MS reported 170 outbreaks representing 3.3% of all
outbreaks. In total, 42 outbreaks were reported as strong-evidence outbreaks. France reported the
majority (71.3%) of the outbreaks and 52.5% of the cases. In total, 3,285 cases, 65 hospitalisations
and three deaths were reported by the MS. Details of the number of reported food-borne outbreaks
and human cases caused by Clostridium toxins are summarised in Table 32.
Table 32: Strong- and weak-evidence food-borne outbreaks caused by Clostridium toxins (excluding
strong-evidence water-borne outbreaks), 2014
Country
Belgium
Denmark
Finland
France
Germany
Hungary
Lithuania
Poland
Strong-evidence outbreaks
Weak-evidence outbreaks
Number Cases Hospitalised Deaths Number Cases Hospitalised Deaths
1
17
1
0
0
0
0
0
2
461
0
0
4
63
0
0
1
67
0
0
0
0
0
0
15
421
0
0
99
1,304
18
0
2
62
20
0
0
0
0
0
1
6
5
0
0
0
0
0
0
0
0
0
1
2
2
0
0
0
0
0
1
2
2
0
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Total
outbreaks
Reporting rate
per 100,000
1
6
1
114
2
1
1
1
0.01
0.11
0.02
0.17
0
0.01
0.03
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Strong-evidence outbreaks
Weak-evidence outbreaks
Number Cases Hospitalised Deaths Number Cases Hospitalised Deaths
Portugal
1
30
1
0
1
2
1
0
Slovakia
0
0
0
0
2
5
5
0
Spain
9
456
8
2
6
120
0
0
Sweden
0
0
0
0
2
32
0
0
United Kingdom
10
207
1
1
2
28
1
0
Total (MS)
42
1,727
36
3
118
1,558
29
0
Country
Total
outbreaks
Reporting rate
per 100,000
2
2
15
2
12
160
0.02
0.04
0.03
0.02
0.02
0.04
Forty-two of the Clostridium toxin outbreaks were supported by strong-evidence. France, the United
Kingdom and Spain reported 34 of these outbreaks (15, 10 and 9 outbreaks respectively). In total,
36 of the strong-evidence outbreaks were reported as general outbreaks and six outbreaks as
household outbreaks.
The most common food vehicles reported for the strong-evidence Clostridium toxin outbreaks were
reported as ‘other foods’ associated with eight outbreaks and ‘bovine meat and products thereof’
associated with six outbreaks. The distribution of food vehicles in strong-evidence outbreaks caused
by Clostridium toxins is shown in Figure 2014_FBOCLOSTRIDIUMVEHIC.
The most common setting reported for the strong-evidence outbreaks were ‘restaurant, café, pub,
bar, hotel’ in 13 outbreaks followed by ‘residential institutions’ (nine outbreaks) and ‘household’ (eight
outbreaks). The most frequently reported contributory factors were inadequate heat treatment and
storage time/temperature abuse in nine and six outbreaks respectively.
In total, five strong-evidence outbreaks caused by C. botulinum were reported by four MS. These
outbreaks were household outbreaks, except for one general outbreak, and accounted for 17 cases
and 12 hospitalisations. The strong-evidence C. botulinum outbreaks were associated with the
consumption of ‘canned food products’ (two outbreaks) and ‘vegetables and juices and other products
thereof’ (two outbreaks). In one outbreak no detailed information on the food vehicle was provided
(reported as ‘other foods’).
Overall, 37 strong-evidence outbreaks caused by C. perfringens were reported in the EU. Where
detailed information on the food vehicle was provided, the food categories most frequently associated
with the C. perfringens outbreaks were ‘bovine meat and products thereof’ (6 outbreaks), ‘other or
mixed red meat and products thereof’ (5 outbreaks) and ‘mixed foods’ (4 outbreaks). Denmark
reported two strong-evidence C. perfringens outbreaks of which one outbreak was associated with a
composite meal and affected 391 cases (11.9% of all reported cases). Inaccurate cooling of the meal
on the day before serving was reported as a contributory factor.
From 2014, it has been possible to provide detailed information for weak-evidence outbreaks and
information on setting was provided in 86.4% of the weak-evidence Clostridium toxin outbreaks. The
most common setting was ‘restaurant, cafe, pub, bar, hotel’ (38 outbreaks), ‘others’ (17 outbreaks),
‘household’ (16 outbreaks) and ‘canteen or workplace catering’ (11 outbreaks). The most common
food vehicle was reported as ‘other foods’ without any additional information (49 outbreaks) and as
‘mixed foods’ (17 outbreaks). Various types of meat were associated with the outbreaks: ‘pig meat
and products thereof’ (8), ‘meat and meat products’ (6), ‘other or mixed red meat and products
thereof’ (6) and ‘bovine meat and products thereof’ (5 outbreaks). The most commonly reported
implicated factor in association with the weak-evidence outbreaks was ‘infected food handler’ in nine
outbreaks.
Staphylococcal enterotoxins
In 2014, 12 MS reported 393 food-borne outbreaks caused by staphylococcal toxins. This represents
7.5% of all outbreaks, a small increase compared with 2013 when 12 MS reported 386 outbreaks
caused by staphylococcal toxins. The overall reporting rate in the EU was 0.12 per 100,000. As in
previous years, France reported the majority (89.6%) of the outbreaks. In addition, Switzerland
reported two strong-evidence outbreaks caused by staphylococcal enterotoxins.
Details on the number of food-borne outbreaks and human cases caused by staphylococcal
enterotoxins reported in 2014 are summarised in Table 33.
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Table 33: Strong- and weak-evidence food-borne outbreaks caused by staphylococcal toxins
(excluding strong-evidence water-borne outbreaks), 2014
Country
Belgium
Croatia
Czech Republic
France
Germany
Hungary
Latvia
Portugal
Romania
Slovakia
Spain
United Kingdom
Switzerland
Total (MS)
Strong-evidence outbreaks
Weak-evidence outbreaks
Number Cases Hospitalised Deaths Number Cases Hospitalised Deaths
2
22
11
0
2
17
0
0
4
37
10
0
0
0
0
0
0
0
0
0
1
54
15
0
9
56
6
0
343
2,268
147
0
3
42
7
0
0
0
0
0
2
20
3
0
1
33
7
0
1
15
14
0
1
4
4
0
2
106
22
0
0
0
0
0
1
24
8
0
0
0
0
0
0
0
0
0
1
20
2
0
5
70
5
0
13
58
3
2
2
106
0
0
0
0
0
0
2
20
0
0
0
0
0
0
31
498
86
0
362
2,454
178
2
Total
Reporting rate
outbreaks per 100,000
4
4
1
352
3
3
2
2
1
1
18
2
2
393
0.04
0.09
0.01
0.54
0
0.03
0.1
0.02
0
0.02
0.04
0
0.02
0.12
In 2014, the number of strong-evidence outbreaks caused by staphylococcal toxins was very low
(31 outbreaks) compared with 2013, where 94 strong-evidence outbreaks were reported. The most
commonly reported single food category in the 31 strong-evidence outbreaks in 2014 was ‘mixed
foods’ (29.0%), followed by ‘pig meat and products thereof’ and ‘broiler meat and products thereof’
(both 9.7%). The distribution of food vehicles in strong-evidence outbreaks caused by staphylococcal
toxins is shown in Figure 2014_FBOSTAPHYLVEHIC.
Information on the type of outbreak was, except for one outbreak, available for all the strongevidence outbreaks caused by staphylococcal toxins: 18 were general outbreaks, 12 were household
outbreaks. The setting most frequently reported was ‘household’ (10 outbreaks), followed by
‘restaurant, café, pub, bar, hotel’ (7 outbreaks) and ‘school or kindergarten’ (3 outbreaks). The setting
was either not reported or indicated as ‘others’ or ‘unknown’ for nine outbreaks.
From 2014, it has been possible to provide detailed information for the weak-evidence outbreaks. The
most common food vehicles reported for 362 weak-evidence outbreaks caused by staphylococcal
toxins were ‘other foods’ (138 outbreaks) and ‘mixed foods’ (57 outbreaks), followed by a various
number of food vehicles: ‘Other or mixed red meat and products thereof’ (22 outbreaks), eggs and
egg products (17 outbreaks), ‘bovine meat and products thereof’, ‘pig meat and products thereof’ and
‘vegetables and juices’ (16 outbreaks, respectively) and ‘crustaceans, shellfish, molluscs and products
thereof’ associated with 15 outbreaks. The most commonly reported setting for the weak-evidence
outbreaks was ‘restaurant, café, pub, bar, hotel’ (159 outbreaks), ‘household’ (99 outbreaks) and
‘school or kindergarten’ (47 outbreaks). In 27 of the outbreaks, a contributory factor was reported to
be ‘infected food handler’.
Campylobacter
In 2014, 16 MS reported a total of 444 food-borne Campylobacter outbreaks within the EU (excluding
two water-borne outbreaks). This is an increase compared with 2013, when a total of 414 outbreaks
were reported, but still lower than 2012, when 501 Campylobacter outbreaks were reported. The
reporting rate for the annual total number of Campylobacter outbreaks was 0.11 per
100,000 population and the outbreaks represent 8.5% of the total reported food-borne outbreaks in
the EU (excluding water-borne outbreaks). Only 29 (6.5%) Campylobacter outbreaks were classified
as strong-evidence outbreaks. In total, the outbreaks affected 1,805 cases of which 189 were
hospitalised, but no deaths were reported by the MS. In addition, Switzerland reported one strongevidence outbreak involving five cases. Detailed information on the distribution of the food-borne
Campylobacter outbreaks (excluding water-borne outbreaks) in the EU MS and non-MS, the number of
cases, hospitalisations and deaths, is summarised in Table 34.
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Table 34: Strong- and weak-evidence food-borne outbreaks caused by Campylobacter (excluding
strong-evidence waterborne outbreaks), 2014
Strong-evidence outbreaks
Weak-evidence outbreaks
Number Cases Hospitalised Deaths Number Cases Hospitalised Deaths
Austria
3
6
3
0
37
78
14
0
Belgium
0
0
0
0
1
2
0
0
Croatia
0
0
0
0
3
34
0
0
Czech Republic
0
0
0
0
3
53
3
0
Denmark
2
5
1
0
0
0
0
0
Estonia
0
0
0
0
3
6
4
0
Finland
1
22
0
0
0
0
0
0
France
6
38
1
0
32
220
14
0
Germany
4
99
34
0
181
503
63
0
Hungary
1
80
0
0
1
3
0
0
Ireland
0
0
0
0
1
9
0
0
Latvia
0
0
0
0
2
4
1
0
Lithuania
0
0
0
0
10
21
21
0
Malta
0
0
0
0
12
35
1
0
Netherlands
0
0
0
0
5
11
2
0
Poland
0
0
0
0
3
8
4
0
Slovakia
0
0
0
0
111
252
20
0
Spain
1
15
0
0
7
80
2
0
Sweden
1
11
0
0
1
55
0
0
United Kingdom
10
146
1
0
2
9
0
0
Iceland
0
0
0
0
1
3
0
0
Norway
0
0
0
0
3
21
0
0
Switzerland
1
5
2
0
0
0
0
0
Total (MS)
29
422
40
0
415
1,383
149
0
Country
Total
outbreaks
40
1
3
3
2
3
1
38
185
2
1
2
10
12
5
3
111
8
2
12
1
3
1
444
Reporting rate
per 100,000
0.47
0.01
0.07
0.03
0.04
0.23
0.02
0.06
0.23
0.02
0.02
0.1
0.34
2.85
0.03
0.01
2.05
0.02
0.02
0.02
0.31
0.06
0.01
0.11
As in previous years, broiler meat was the most frequently identified food vehicle associated with
strong-evidence Campylobacter outbreaks (55.2%). All other food vehicles were associated with one
or two outbreaks. Twenty-four outbreaks were reported as general outbreaks and four as household
outbreaks (one outbreak was reported as ‘unknown’). The most frequently reported setting was
‘restaurant, café, pub, bar, hotel’ (14 outbreaks), followed by household (three outbreaks). Crosscontamination and/or inadequate heat treatment were reported as possible contributory factors in
11 strong-evidence Campylobacter outbreaks.
Where detailed information was reported for the weak-evidence outbreaks, broiler meat was the most
frequently reported food vehicle (12 outbreaks) and ‘household’ was the most frequently reported
setting (41 outbreaks).
Detailed information on the distribution of the most common food vehicles implicated in the strongevidence Campylobacter outbreaks is summarised in Figure 2014_FBOCAMPVEHIC.
Verotoxigenic Escherichia coli and other food-borne pathogenic Escherichia coli
In 2014, 13 MS reported a total of 67 food-borne outbreaks caused by pathogenic E. coli (excluding
four water-borne outbreaks) representing 1.3% of the total number of the reported food-borne
outbreaks in the EU. This is a decrease compared with 2013, when 73 outbreaks were reported. In
total, 957 people were affected of which 139 (14.5%) were hospitalised, no deaths were reported. In
addition, Norway reported one outbreak with 38 cases (Table 35).
Table 35: Strong- and weak-evidence food-borne outbreaks caused by pathogenic Escherichia coli
(excluding strong-evidence waterborne outbreaks), 2014
Country
Austria
Belgium
Croatia
Denmark
France
Germany
Strong-evidence outbreaks
Weak-evidence outbreaks
Total
Number Cases Hospitalised Deaths Number Cases Hospitalised Deaths outbreaks
0
0
0
0
3
11
5
0
3
0
0
0
0
1
2
1
0
1
0
0
0
0
2
4
2
0
2
0
0
0
0
3
16
4
0
3
3
119
2
0
22
267
10
0
25
1
5
0
0
4
9
1
0
5
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Reporting rate
per 100,000
0.04
0.01
0.05
0.05
0.04
0.01
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Strong-evidence outbreaks
Weak-evidence outbreaks
Total
Number Cases Hospitalised Deaths Number Cases Hospitalised Deaths outbreaks
Ireland
0
0
0
0
8
19
0
0
8
Malta
0
0
0
0
2
6
0
0
2
Poland
1
77
74
0
1
4
2
0
2
Slovakia
0
0
0
0
1
3
3
0
1
Spain
2
63
2
0
1
3
1
0
3
Sweden
0
0
0
0
4
19
5
0
4
United Kingdom
4
263
18
0
4
67
9
0
8
Norway
0
0
0
0
1
38
0
0
1
Total (MS)
11
527
96
0
56
430
43
0
67
Country
Reporting rate
per 100,000
0.17
0.47
0.01
0.02
0.01
0.04
0.01
0.02
0.02
Eleven of the pathogenic E. coli outbreaks were supported by strong evidence and the United
Kingdom and France reported four and three outbreaks, respectively. Nine of the strong-evidence
outbreaks were reported as general outbreaks and two outbreaks as household outbreaks.
The most common food vehicles reported for the strong-evidence outbreaks caused by pathogenic
E. coli were ‘milk’ and ‘vegetables and juices’ (both three outbreaks), followed by ‘mixed food’ and
‘other foods’ (both two outbreaks) and ‘dairy products other than cheeses’ (one outbreak). Two of the
three milk-associated outbreaks were linked to the consumption of raw milk. The settings reported for
the strong-evidence outbreaks were diverse: ‘hospital or medical care facility’ (two outbreaks),
household (two outbreaks), farm (1), ‘restaurant, café, pub, bar, hotel’ (1), ‘school or kindergarten’
(1) and ‘take-away or fast-food outlet’ (1).
From 2014, it has been possible to provide detailed information for weak-evidence outbreaks.
However, no specific information on the implicated food vehicle was provided for 49 out of
56 outbreaks (reported as either ‘other foods’ or ‘unknown’). The only food vehicles reported for the
weak-evidence outbreaks due to pathogenic E. coli were ‘bovine meat and products thereof’ (four
outbreaks), ‘vegetables and juices’ (two outbreaks) and ‘cheese’ (one outbreak). Where reported, the
most common settings for the weak-evidence outbreaks caused by pathogenic E. coli were
‘restaurant, café, pub, bar, hotel’ (11 outbreaks) and ‘household’ (10 outbreaks).
Verotoxigenic E. coli (VTEC) was reported as the causative agent in 38 of the pathogenic E. coli
outbreaks (excluding water-borne outbreaks) involving 270 cases and 34 hospitalisations. Eight of
these outbreaks were caused by VTEC O157. Five of the VTEC outbreaks were supported by strong
evidence. Three of strong-evidence VTEC outbreaks were associated with milk, which in two
outbreaks was served unpasteurised (raw milk); the other two strong-evidence VTEC outbreaks were
associated with different types of RTE salads.
Other causative agents
In this report the category ‘other causative agents’ includes chemical agents, histamine, lectin, marine
biotoxins, mushroom toxins, and wax esters (from fish).
In 2014, 12 MS reported a total of 140 food-borne outbreaks due to other causative agents. This
represents the 2.7% of all outbreaks reported at the EU level, a small increase compared with 2013,
when 132 outbreaks were reported. The reporting rate was 0.04 per 100,000 population. In total,
58 strong-evidence outbreaks were reported by 10 MS, mainly by Spain (32 strong-evidence
outbreaks). France reported the highest number of outbreaks (73 outbreaks, including both strongand weak-evidence outbreaks) (Table 36).
Table 36: Strong- and weak-evidence food-borne outbreaks caused by other causative agents
(excluding strong-evidence waterborne outbreaks), 2014
Country
Belgium
Bulgaria
Denmark
Finland
France
Germany
Ireland
Strong-evidence outbreaks
Weak-evidence outbreaks
Number Cases Hospitalised Deaths Number Cases Hospitalised Deaths
2
4
2
0
0
0
0
0
0
0
0
0
1
0
0
0
2
7
0
0
0
0
0
0
1
23
2
0
0
0
0
0
10
46
4
0
63
260
27
1
4
10
0
0
0
0
0
0
1
4
1
0
0
0
0
0
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Total
outbreaks
Reporting rate
per 100,000
2
1
2
1
73
4
1
0.02
0.01
0.04
0.02
0.11
0
0.02
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Strong-evidence outbreaks
Weak-evidence outbreaks
Number Cases Hospitalised Deaths Number Cases Hospitalised Deaths
Poland
2
4
4
1
0
0
0
0
Spain
32
125
21
0
14
52
4
0
Sweden
3
13
2
0
4
10
2
0
United Kingdom
1
2
2
0
0
0
0
0
Total (MS)
58
238
38
1
82
322
33
1
Country
Total
outbreaks
Reporting rate
per 100,000
2
46
7
1
140
0.01
0.1
0.07
0
0.04
The majority (53.2%) of outbreaks due to ‘other causative agents’ were caused by histamine, which
accounted for 44.4% of human cases and 65.2% of hospitalisations reported in these outbreaks.
Most of the strong-evidence outbreaks caused by other agents (58.6% of the outbreaks) were
associated with the consumption of ‘fish and fishery products’, followed by ‘vegetables and juices and
other products thereof’ (17.2% of the outbreaks).
Information on the type of outbreak was available for all the strong-evidence outbreaks (except for
three) caused by other agents: 30 were general outbreaks, 18 were household/domestic kitchen
outbreaks and 7 outbreaks were classified as of ‘unknown’ type. The setting most frequently reported
was ‘restaurant, café, pub, bar, hotel’ (25 outbreaks), followed by ‘household’ (17 outbreaks). The
setting was either not reported or indicated as ‘others’ or ‘unknown’ for 9 outbreaks.
The number of the strong-evidence outbreaks caused by the different agents included in the category
‘other causative agents’ and related cases are presented in Table 37.
Table 37: Strong-evidence food-borne outbreaks caused by other causative agents (excluding
strong-evidence water-borne outbreaks), 2014
Causative agent
Chemical agents
Histamine
Marine biotoxins
Marine biotoxins – ciguatoxin
Marine biotoxins – muscle-paralysing toxin
Mushroom toxins
Lectin
Wax esters (from fish)
Total (MS)
Country
Spain
Belgium
Denmark
Finland
France
Germany
Spain
Sweden
United Kingdom
Ireland
France
Spain
Poland
Spain
Denmark
Spain
Number
2
2
1
1
5
4
18
3
1
1
5
1
2
10
1
1
58
Strong-evidence outbreaks
Cases
Hospitalized
Deaths
13
0
0
4
2
0
3
0
0
23
2
0
25
4
0
10
0
0
84
3
0
13
2
0
2
2
0
4
1
0
21
0
0
2
0
0
4
4
1
24
18
0
4
0
0
2
0
0
238
38
1
Other bacterial agents
Under the category ‘other bacterial agents’, outbreaks due to Shigella, Listeria, Brucella, Vibrio
parahaemolyticus, Francisella, Leptospira and other bacterial agents are reported.
In 2014, a total of 21 outbreaks of Shigella were reported by nine MS. All outbreaks were reported as
weak-evidence outbreaks and five of the outbreaks were due to Shigella sonnei. The outbreaks
affected 104 cases, of which 22 were hospitalised. The type of outbreak was reported as general in
six of the outbreaks, five were household outbreaks and ten outbreaks were reported as unknown.
In 2014, a total of 15 Listeria outbreaks were reported by seven MS. This was an increase compared
with 2013, where 12 outbreaks were reported and twice the number reported in 2011. Overall, the MS
reported 106 cases, 19 hospitalisations and no deaths. In addition, Switzerland reported 31 cases and
four fatalities in one outbreak. The largest Listeria outbreak was reported by Denmark affecting
41 cases associated with cold meat cuts (see text box below). Six of the reported outbreaks were
supported by strong-evidence and all, except one (for which the type of outbreak was ‘unknown’),
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were reported as general outbreaks. Two strong-evidence outbreaks were linked to the consumption
of ‘mixed foods’, while each of the remaining four strong-evidence outbreaks were associated
respectively with the consumption of ‘fish and fishery products’, ‘buffet meals’, ‘other or mixed red
meat and products thereof’ and ‘other foods’. Two of the reported outbreaks were located in a
‘hospital or medical care facility’, involving six cases, and two outbreaks were household outbreaks.
Denmark reported the largest outbreak caused by L. monocytogenes in the EU, which involved
41 human cases. The patients were 43–90 years old with a median age of 72 years, and 23 (56%)
were women. Seventeen patients (41%) died within 30 days from the sample date.42 All patients had
underlying diseases, in particular cancers and haematological diseases, and many were in treatment
with immunosuppressive drugs rendering them more susceptible to listeriosis. The outbreak
investigation was aided by the use of a whole-genome sequencing typing-based method, which was
introduced for routine typing of Listeria isolates in Denmark in 2014. The implementation of the
whole-genome sequencing typing method has improved the identification and the comparison of
clusters of isolates over long periods of time, and has complemented epidemiological investigations,
making is possible to identify the source of the outbreak: a Danish cold cut RTE meat speciality from a
specific producer (Anonymous, 2015).
Only two Brucella outbreaks were reported in 2014. Germany reported both of these outbreaks, in
which five of seven cases were hospitalised and one person died. Both outbreaks were reported as
weak-evidence outbreaks. No specific information on the food vehicle and on the place of exposure
was reported for the Brucella outbreaks.
Five outbreaks due to Vibrio were reported by two MS. France reported four Vibrio parahaemolyticus
outbreaks, of which one was supported by strong evidence. Spain reported one weak-evidence
outbreak caused by unspecified Vibrio. Overall, 28 people were affected and one person was
hospitalised. Information on the setting was reported for four of the five outbreaks: for three
outbreaks the setting was reported as ‘restaurant, café, pub, bar, hotel’, and as ‘household’ in one
outbreak. Two outbreaks (including the one supported by strong evidence) were associated with the
consumption of ‘crustaceans, shellfish, molluscs and products thereof’, one outbreak was linked to the
consumption of ‘fish and fish products’, while no specific information on the food vehicle (indicated as
‘other foods’) was reported for two outbreaks.
One domestic outbreak caused by unspecified Francisella was reported by France. This was linked to
the consumption of ‘other, mixed or unspecified poultry meat and products thereof’ and involved three
human cases. In addition, Norway reported one weak-evidence outbreak caused by F. tularensis,
which involved four human cases. The food vehicle for this latter outbreak was ‘unknown’ and
therefore it is not clear whether this was a food- or a water-borne outbreak.
In addition, one strong-evidence general food-borne outbreak due to other (unspecified) bacteria
involving 28 cases was reported by Spain. The outbreak was associated with ‘vegetables and juices’ in
a ‘canteen or workplace catering’. In addition, 10 weak-evidence outbreaks were reported by Slovakia
and Spain. Slovakia reported eight weak-evidence outbreaks involving 219 cases, of which 30 were
hospitalised. Spain reported two weak-evidence outbreaks with five cases, two of which were
hospitalised.
Parasites
The category ‘parasites’ includes outbreaks due to Trichinella, Cryptosporidium, Giardia and Anisakis.
In 2014, 10 MS reported a total of 33 food-borne outbreaks caused by parasites (Table 27). Overall,
this represents 0.63% of all food-borne outbreaks reported in the EU.
42
As stated in the ‘Annual Report on Zoonoses in Denmark 2014’ (Anonymous 2015), in the context of the Listeria outbreak
17 patients (41 %) died within 30 days from the sample date. However, it should be noted that Denmark do not report
deaths related to outbreaks to EFSA, if a fatal cases had a seriously underlying disease and the infection is considered a
contributing factor to the death only. For this reason, although indicated in the text box, the 17 deaths do not appear in the
summary tables or in the main narrative text of the present EFSA report.
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In 2014, 17 Trichinella outbreaks were reported by six MS. In total, 187 people were affected of which
84 were hospitalised. Fifteen of the outbreaks were reported with strong evidence, and 86.7% of
these were associated with ‘pig meat and products thereof’ (including one outbreak involving wild
boar meat). One outbreak was associated with meat from bears. Romania reported nine of the
outbreaks (all with strong-evidence), which involved 114 cases.
Seven outbreaks caused by Cryptosporidium spp. were reported by two MS (excluding two waterborne outbreaks). One strong-evidence food-borne outbreak caused by C. parvum linked with the
consumption of parsley was reported by Sweden and involved 83 cases in the setting of ‘restaurant,
café, pub, bar or hotel’. Sweden also reported four weak-evidence outbreaks of which two were
associated with mixed foods by descriptive epidemiology. Germany reported two weak-evidence
outbreaks.
In 2014, six weak-evidence outbreaks caused by Giardia were reported by one MS. This represent a
decrease compared with the number of Giardia food-borne outbreaks reported in 2013, when
12 weak-evidence outbreaks were reported by four MS.
One weak-evidence outbreak caused by Anisakis was reported by Spain. This outbreak was linked to
the consumption of fish and fish products and affected five human cases.
Yersinia
In 2014, 11 outbreaks caused by Yersinia (one strong-evidence outbreak and 10 weak-evidence
outbreaks) were reported by six MS; this was an increase compared with 2013 (eight outbreaks).
Overall in 2014, the MS reported 208 cases, out of which nine were hospitalised. The only strongevidence food-borne outbreak was reported by Finland and was associated with the consumption of
unpasteurised milk. This outbreak was caused by Y. pseudotuberculosis (see text box). Four weakevidence outbreaks were caused by Y. enterocolitica, while no further information on the type of
Yersinia was provided for the remaining six weak-evidence outbreaks. Two weak-evidence outbreaks
reported by France were associated with the consumption of ‘mixed foods’ and the consumption of
‘pig meat and products thereof’. The food vehicle was ‘unknown’ for the remaining eight outbreaks.
In addition, Norway reported two Y. enterocolitica strong-evidence outbreaks, one associated with the
consumption of mixed salad and the other with the consumption of pig meat and products thereof.
In March 2014, a Y. pseudotuberculosis outbreak was detected by a municipal authority in Southern
Finland. Epidemiological, microbiological and trace-back investigations were conducted to identify the
source of the outbreak. Between February and April 2014, 55 Y. pseudotuberculosis cases (45 with a
positive stool culture and 10 seropositive cases) from 48 households were notified to the National
Infectious Diseases Register in Finland. Illness was strongly associated with the consumption of raw
milk from a single producer. The odds ratio of illness increased with the amount of raw milk consumed
and previously healthy adults became infected after consuming raw milk. Identical
Y. pseudotuberculosis strains were identified from cases’ stool samples, raw milk sampled from one of
the case’s refrigerator and from the milk line filter at the farm. The raw milk originated from a single
producer, who fulfilled the legal requirements for raw milk production. The producer voluntarily
recalled the raw milk and stopped its production.
[Source: complementary information provided by Finland to EFSA in the context of the 2014 data
reporting on zoonoses and food-borne outbreaks]
Unknown agents
In 2014, 19 MS reported 1,531 outbreaks (including seven water-borne outbreaks) representing
29.2% of all outbreaks in which the causative agent was unknown and these accounted for 23.5% of
all outbreaks cases (Table 27). Since 2012, there has been a low increase in the number of outbreaks
where the agent is reported as unknown (2013, n=1,499 and 2012, n=1,478). Forty outbreaks
(excluding four water-borne outbreaks) were supported by strong-evidence (7.2% of all strongevidence outbreaks, excluding waterborne outbreaks). The most common food vehicle was the
category ‘mixed foods’ (10 outbreaks), followed by ‘eggs and egg products’ and ‘crustaceans, shellfish,
molluscs and products thereof’ (five outbreaks each).
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3.16.3. Water-borne outbreaks
In 2014, nine MS reported 22 water-borne outbreaks and 12 of these were reported as strongevidence outbreaks by six MS. The outbreaks involved 556 cases of which 15 were hospitalised. In
addition, one non-MS, Iceland, reported one strong-evidence outbreak.
agents were detected in the 12 strong-evidence outbreaks: Salmonella,
Campylobacter jejuni, Campylobacter coli, pathogenic E. coli (excluding VTEC) and VTEC (VTEC O103
and O157), Clostridium perfringens and Cryptosporidium parvum. There were four water-borne
Seven different
outbreaks in which the causative agent was unknown. Six MS reported 10 weak-evidence outbreaks
caused by calicivirus (Norwalk-like virus), Cryptosporidium parvum, VTEC, Bacillus cereus and
Leptospira.
The largest water-borne outbreak was caused by Campylobacter in tap water and occurred in Finland,
where 96 people were affected. In Croatia, one water-borne outbreak was caused by S. Enteritidis
from untreated drinking water and this affected 68 people. In Ireland, VTEC O157 was detected in
water in a private household. In the United Kingdom, Cryptosporidium parvum was detected in a
water tank where spring water had been collected and 24 cases were involved in the outbreak.
Further details on the number of strong-evidence outbreaks and human cases, including information
on the causative agents, reporting countries and settings can be found in Table 38.
Table 38: List of reported strong-evidence water-borne outbreaks in 2014
Causative agent
Country
Settings
Spain
Camp or picnic
Finland
Sweden
Household
Others
Iceland
Spain
Bacterial toxins
(Clostridium perfringens)
(excluding VTEC)
Escherichia coli, pathogenic Finland
– Verotoxigenic E. coli
Ireland
(VTEC)
Parasites
United
(Cryptosporidium parvum) Kingdom
Salmonella
Croatia
Unknown
Finland
Spain
Tap water
Pulsed field gel electrophoresis
(PFGE) in water and cases
conisdered as the same (>
90% similarity)
Strong-evidence outbreaks
Number Cases Hospitalised Deaths
1
22
0
0
1
1
96
7
0
0
0
0
Unknown
Camp or picnic
1
1
3
49
0
0
0
0
Household
Household
1
1
9
1
1
1
0
0
1
24
0
0
1
1
2
1
12
68
14
93
9
392
5
0
0
0
7
0
0
0
0
0
Campylobacter
Escherichia coli, pathogenic
Additional information
VTEC O157 VT2 detected in
water
Others
spring water collected in tank,
C. parvum ST 825.
Others
water was untreated
Camp or picnic
Well water
Household
Tap water
Camp or picnic
Total (MS)
3.16.4. Discussion
A total of 5,251 food-borne outbreaks were reported by 26 MS in 2014, compared with
5,196 outbreaks reported by 24 MS in 2013. The most commonly reported causative agents in these
outbreaks were viruses and Salmonella, followed by bacterial toxins and Campylobacter. Food-borne
viruses overtook Salmonella as the most common causative agents reported in association with foodborne outbreaks.
Overall, the outbreaks reported by MS involved 45,665 human cases, 6,438 hospitalisations and
27 deaths. The number of human cases and fatalities has increased compared with 2013, when
41,962 human cases and 11 fatalities were reported.
From 2014, MS had the possibility to report detailed information for weak-evidence outbreaks (EFSA,
2014). This has resulted in a higher proportion of outbreaks where the food vehicle and setting were
reported, compared with the previous years when detailed information was only reportable for strong-
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evidence outbreaks. In 2014, a large reduction was observed in the number of reported strongevidence outbreaks compared with 2013. It is unclear whether the new reporting guidelines for weakevidence outbreaks have contributed to this reduction.
Overall, the most frequently reported food vehicle categories implicated in strong-evidence outbreaks
were ‘eggs and egg products’, followed by ‘mixed food’, and ‘crustaceans, shellfish, molluscs and
products thereof’. The latter was mainly reported in connection with calicivirus (Norwalk-like virus).
The number of reported outbreaks caused by viruses has more than doubled between 2011 and 2014.
However, it should be noted that there has been variability in the number of outbreaks due to foodborne viruses throughout the period from 2008 to 2013. Overall, compared to Salmonella outbreaks,
not only were there more food-borne outbreaks caused by viruses reported in 2014, but also more
people were involved, and more cases were hospitalised. The number of deaths due to Salmonella
outbreaks, however, outnumbered those due to viruses.
As in previous years, a reduction was observed in the number of reported outbreaks caused by
Salmonella. The total number of Salmonella outbreaks within the EU has decreased markedly, by
44.4%, since 2008, when National Control Programmes for Salmonella in laying hens were introduced,
followed by restrictions on sale of fresh eggs from infected flocks in 2009.
Most of the Salmonella outbreaks were caused by ‘eggs and egg products’. Bakery products were
reported as the second most common food vehicle in Salmonella outbreaks in 2014, where ‘sweets
and chocolates’ represented the second most commonly reported food vehicle in 2013.
A small rise, by 7.7%, was seen in the number of reported Campylobacter outbreaks between 2013
and 2014, when 444 outbreaks were reported. However, this was still lower than 2012, when
501 Campylobacter outbreaks were reported. It is possible that improved typing methods may have
contributed to identification of outbreaks, although the numbers of Campylobacter cases in the EU
been increasing despite various control initiatives at farm and abattoir level.
Broiler meat was the main food vehicle implicated in Campylobacter outbreaks, as in 2013. This is
consistent with EFSA’s BIOHAZ Panel Scientific Opinion (EFSA BIOHAZ, CONTAM and AHAW Panels,
2012) that handling, preparation and consumption of broiler meat may account for 20–30% of human
cases.
The number of reported strong-evidence water-borne outbreaks increased compared with 2013. The
largest water-borne outbreak was caused by Campylobacter and occurred in Finland, where 96 people
were affected.
As in previous years, the data reported on food-borne outbreaks demonstrate that reporting by a
single or a small number of MS can have a strong influence on the apparent distribution of causative
agents and food vehicles at the EU level. It also appears that, within the MS, there may be large
differences with regard to the reported causative agents and implicated food vehicles between years.
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Abbreviations
AE
alveolar echinococcosis
AHAW
EFSA Panel on Animal Health and Welfare
BIOHAZ
EFSA Panel on Biological Hazards
CE
cystic echinococcosis
CFT
complement fixation test
CFU
colony-forming unit
CONTAM
EFSA Panel on Contaminants in the Food Chain
DCF
Data Collection Framework
EBLV
European bat lyssavirus
EC
European Commission
ECDC
European Centre for Disease Prevention and Control
EEA
European Economic Area
EFSA
European Food Safety Authority
EFTA
European Free Trade Association
ELISA
Enzyme-linked immunosorbent assay
ESRI
Economic and Social Research Institute
EURL
European Union Reference Laboratory
FAT
fluorescent antibody test
g
gram
HACCP
hazard analysis and critical control point
HAV
hepatitis A virus
HUS
haemolytic–uraemic syndrome
i-ELISA
indirect enzyme-linked immunosorbent assay
IFA
immunofluorescence assay
IHC
immunohistochemistry
ISO
International Organization for Standardization
LHT
low heat-treated
MLST
multi locus sequence typing
MRSA
meticillin-resistant Staphylococcus aureus
MS
Member State
NMKL
Nordic Committee on Food Analysis
NT
not typable
OBF
official brucellosis-free
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ObmF
official Brucella melitensis-free
OIE
World Organisation for Animal Health
OTF
official tuberculosis-free
PCR
polymerase chain reaction
PFGE
pulsed field gel electrophoresis
PHC
process hygiene criteria
RTE
ready-to-eat
RT-PCR
reverse transcriptase-polymerase chain reaction
STEC
Shiga toxin-producing Escherichia coli
TESSy
The European Surveillance System
VTEC
verocytotoxigenic Escherichia coli
WNF
West Nile fever
WNV
West Nile virus
WAHID
World Animal Health Information Database
WHO
World Health Organization
Country codes
Austria
AT
Greece
GR
Norway
NO
Belgium
BE
Hungary
HU
Poland
PL
Bulgaria
BG
Iceland
IS
Portugal
PT
Croatia
HR
Ireland
IE
Romania
RO
Cyprus
CY
Italy
IT
Slovakia
SK
Czech Republic
CZ
Latvia
LV
Slovenia
SI
Denmark
DK
Liechtenstein
LI
Spain
ES
Estonia
EE
Lithuania
LT
Sweden
SE
Finland
FI
Luxembourg
LU
Switzerland
CH
France
FR
Malta
MT
United Kingdom UK
Germany
DE
Netherlands
NL
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Appendix: List of usable data
Summary
Table abbreviation
Table name
2014_ZOONHOSPITRATES
Reported hospitalization and case-fatality rates due to
zoonoses in confirmed human cases in the EU, 2014
Figure abbreviation
Figure name
2014_ZOONHUMRATES
Reported notification rates of zoonoses in confirmed
human cases in the EU, 2014
3.1. Salmonella
Table abbreviation
Table name
2014_SALMOVERVIEW
Overview of countries reporting data for Salmonella
3.1.1. Salmonellosis in humans
Humans
Humans
Table abbreviation
Table name
2014_SALMHUMRATES
Reported cases and notification rates for confirmed
cases of human salmonellosis in the EU/ EEA, 2010–
2014
2014_SALMHUMSEROVARS
Distribution of reported confirmed cases of human
salmonellosis in the EU/EEA, 2012–2014, by the 20
most frequent serovars in 2014
Figure abbreviation
Figure name
2014_SALMHUMTREND
Trend in reported confirmed cases of human nontuphodial salmonellosis in the EU/EEA, 2008-2014
3.1.2. Salmonella in food, animals and feed
Food
Table abbreviation
Table name
2014_SALMCOMPLFOOD
Compliance with the food safety Salmonella criteria
laid down by EU Regulations 2073/2005 and
1441/2007 and 1086/2030, 2014
2014_SALMBROILMEAT
Salmonella in fresh broiler meat at slaughter,
2014_SALMRTEBROIL
Salmonella in RTE products from broiler meat, 2014
2014_SALMTURKMEAT
Salmonella in fresh turkey meat at slaughter,
2014_SALMRTETURK
Salmonella in RTE products from turkey meat, 2014
2014_SALMPIGMEAT
Salmonella
2014_SALMRTEPIG
Salmonella in RTE products from minced meat, meat
processing/cutting level and retail, 2014
processing/cutting level and retail, 2014
in fresh pig meat, at
cutting/processing level and retail, 2014
slaughter,
preparation and meat products from pig meat, 2014
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Table abbreviation
Table name
2014_SALMBOVINEMEAT
Salmonella in fresh bovine meat, at slaughter,
2014_SALMRTEBOVINE
Salmonella in RTE products minced meat, meat
cutting/processing level and retail, 2014
preparations and meat products from bovine animals,
2014
Animals
2014_SALMEGGS
Salmonella in table egg samples, 2014
2014_SALMBIVMOLLUSC
Salmonella in live bivalve molluscs, 2014
2014_SALMFRUIT
Salmonella in fruit, 2014
2014_SALMFRUITVEG
Salmonella in fruit and vegetable, 2014
2014_SALMVEGET
Salmonella in vegetables, 2014
2014_SALMHERBS
Salmonella in spices and herbs, 2014
2014_SALMSPRSEED
Salmonella in seeds, sprouted, 2014
2014_SALMPIGCARCASHACCP
2014_SALMDRIEDSEED
Salmonella in pig carcases, at slaughter, HACCP,
2014
Salmonella in seeds, dried, 2014
2014_SALMBREEDPROD
Salmonella in breeding flocks of Gallus gallus during
2014_SALMLAYPROD
Salmonella in laying hen flocks of Gallus gallus during
the production period (all types of breeding flocks,
flock-based data) in countries running
control
programmes in accordance with Regulation (EC) No
2160/2003, 2014
the production period (flock-based data) in countries
running control programmes in accordance with
Regulation (EC) No 2160/2003, 2014
2014_SALMBROIBS
Salmonella in broiler flocks of Gallus gallus before
2014_SALMBREEDTURK
Salmonella in breeding flocks of turkeys (adults,
slaughter (flock-based data) in countries running
control programmes, 2014
flock-based data)
programmes, 2014
2014_SALMFATTURKBS
in
countries
running
control
Salmonella in fattening flocks of turkeys before
slaughter (flock-based data) in countries running
control programmes, 2014
2014_SALMAPBREEDEGGLINE
Salmonella in adult parent breeding flocks for the
egg production line during the production period
(Gallus gallus, flock-based data) in countries running
control programmes in accordance with Regulation
(EC) No 2160/2003, 2014
2014_SALMAPBREEDMEAT
Salmonella in adult parent breeding flocks in the
broiler meat production line (Gallus gallus, flockbased data) in countries running control programmes
in accordance with Regulation (EC) No 2160/2003,
2014
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Table abbreviation
Table name
2014_SALMGPBREEDPROD
Salmonella in elite and grandparent breeding flocks
of Gallus gallus during the production period (flockbased data) in countries running control programmes
in accordance with Regulation (EC) No 2160/2003,
2014
2014_SALMDUCKGEESE
Salmonella in flocks of ducks and geese (flock-based
2014_SALMPIGSBACT
Salmonella in pigs from bacteriological monitoring
data), 2014
programmes, 2014
Feed
2014_SALMCATBACT
Salmonella in cattle from bacteriological monitoring
2014_SALMDERIVEDFEED
Salmonella in feedingstuffs, in the EU, 2014
2014_SALMCOMPFEEDCATTLE
Salmonella in compound feedingstuffs for cattle, in
2014_SALMCOMPFEEDPIGS
Salmonella in compound feedingstuffs for pigs, in the
programmes, 2014
the EU, 2014
EU, 2014
2014_SALMCOMPFEEDPOULTRY
Salmonella in compound feedingstuffs for poultry, in
the EU, 2014
Serovars
2014_SERALLMATRIX
Reported Salmonella serovar isolates, in animal
species, food of animal origin and animal
feedingstuffs, by matrix, EU, 2014
2014_SERBROMEAT
Distribution of the ten most common Salmonella
serovars in broiler meat, 2014
2014_SERTURKMEAT
Distribution of the ten most common Salmonella
serovars in turkey meat, 2014
2014_SERMONTMEATPOU
Distribution of S. Typhimurium-like strains and
monophasic S. Typhimurium detected in poultry
meat, 2014
2014_SERPIGMEAT
Distribution of the ten most common Salmonella
serovars in pig meat, 2014
2014_SERMONTMEATPIG
Distribution of S. Typhimurium-like strains and
monophasic S. Typhimurium detected in meat from
pigs, 2014
2014_SERBOVMEAT
Distribution of the ten most common Salmonella
serovars in bovine meat, 2014
2014_SERMONTMEATBOV
Distribution of S. Typhimurium-like strains and
monophasic S. Typhimurium detected in meat from
bovine animals, 2014
2014_SERGAL
Distribution of the ten most common Salmonella
serovars in Gallus gallus, 2014
2014_SERBRO
Distribution of the ten most common Salmonella
serovars in broilers, 2014
2014_SERTURK
Distribution of the ten most common Salmonella
serovars in turkeys, 2014
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Table abbreviation
Table name
2014_SERMONTPOU
Distribution of S. Typhimurium-like strains and
monophasic S. Typhimurium detected in poultry
flocks, 2014
2014_SERPIGS
Distribution of the ten most common Salmonella
serovars in pigs, 2014
2014_SERMONTPIG
Distribution of S. Typhimurium-like strains and
monophasic S. Typhimurium detected in pigs, 2014
2014_SERBOV
Distribution of the ten most common Salmonella
serovars in cattle, 2014
2014_SERMONTBOV
Distribution of S. Typhimurium-like strains and
monophasic S. Typhimurium detected in bovine
animals, 2014
2014_SERGALFEED
Distribution of the ten most common Salmonella
serovars in compound feed for Gallus gallus, 2014
2014_SERPIGSFEED
Distribution of the ten most common Salmonella
serovars in compound feed for pigs, 2014
2014_SERBOVFEED
Distribution of the ten most common Salmonella
serovars in compound feed for cattle, 2014
Figure abbreviation
Figure name
Food
2014_SALMCOMPLCRITERIA
Proportion of units not complying with the EU
Salmonella criteria, 2011-2014
Animals
2014_SALMTRENDPOULTRY
Prevalence of S. Enteritidis, S. Typhimurium, S.
Infantis, S. Virchow and/or S. Hadar-positive breeding
flocks of Gallus gallus during production in the EU,
2007-2014; of S. Enteritidis and/or S. Typhimuriumpositive laying hen flocks, broiler flocks, flocks of
breeding and fattening turkeys, during the production
period in the EU, 2008-2014
2014_SALMTARGETBREED
Prevalence of S. Enteritidis, S. Typhimurium,
S. Infantis, S. Virchow and/or S. Hadar-positive
breeding flocks of Gallus gallus during the production
period and target for Member States, Iceland, Norway
and Switzerland, 2014
2014_SALMMAPBREED
Prevalence of the five target serovars ( S. Enteritidis,
S. Typhimurium, S. Infantis, S. Virchow and/or
S. Hadar)-positive breeding flocks of Gallus gallus
during the production period, 2014
2014_SALMTARGETLAY
Prevalence of S. Enteritidis and/or S. Typhimuriumpositive laying hen flocks of Gallus gallus during the
production period and targets for Member States,
Norway and Switzerland, 2014
2014_SALMMAPLAY
Prevalence of the two target serovars ( S. Enteritidis
and/or S. Typhimurium)-positive laying hen flocks of
Gallus gallus during the production period, 2014
Serovars
Animals
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Animals
Serovars
Figure abbreviation
Figure name
2014_SALMTARGETBROIBS
Prevalence of S. Enteritidis and/or S. Typhimuriumpositive broiler flocks of Gallus gallus before slaughter
and target for Member States, Iceland, Norway and
Switzerland, 2014
2014_SALMMAPBROIBS
Prevalence of the two target serovars ( S. Enteritidis
and/or S. Typhimurium)-positive broiler flocks of
Gallus gallus before slaughter, 2014
2014_SALMTARGETBREEDTURK
Prevalence of S. Enteritidis and/or S. Typhimuriumpositive breeding flocks of turkeys during the
production period and target for Member States,
Iceland, Norway and Switzerland, 2014
2014_SALMMAPBREEDTURK
Prevalence of the two target serovars ( S. Enteritidis
and/or S. Typhimurium)-positive breeding flocks of
turkeys during the production period, 2014
2014_SALMTARGETFATTURKBS
Prevalence of S. Enteritidis and/or S. Typhimuriumpositive fattening flocks of turkeys and target for
Member States, Iceland, Norway and Switzerland,
2014
2014_SALMMAPFATTURKBS
Prevalence of the two target serovars ( S. Enteritidis
and/or S. Typhimurium)-positive fattening flocks of
turkeys, 2014
2014_SERSIMAPBROMEAT
Distribution of S. Infantis reported from broiler meat,
2014
2014_SERBROMEATTREND
Trends in commonly reported Salmonella serovars
from broiler meat, 2010-2014
2014_SERSIMAPGAL
Distribution of S. Infantis reported from Gallus gallus,
2014
2014_SERSKMAPGAL
Distribution of S. Kentucky reported from Gallus
gallus, 2014
2014_SERTRENDGAL
Trends in commonly reported Salmonella serovars
from Gallus gallus, 2010-2014
2014_SERTURKTREND
Trends in commonly reported Salmonella serovars
from turkeys, 2010-2014
2014_SERDIAGRALLMATRIX
Sankey diagram of reported Salmonella serovar
isolates, in animal species, food of animal origin and
animal feedingstuffs, by matrix, 2014
3.2. Campylobacter
Table abbreviation
2014_CAMPOVERVIEW
Table name
Overview of countries reporting data for
Campylobacter, 2014
3.2.1. Campylobacteriosis in humans
Humans
Table abbreviation
2014_CAMPHUMRATES
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Table name
Reported cases and notifciation rates of human
campylobacteriosis in the EU/ EEA, 2010–2014
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Figure abbreviation
2014_CAMPHUMTREND
Humans
Figure name
Trend in reported confirmed cases of human
campylobacteriosis in the EU/EEA, 2008-2014
3.2.2. Campylobacter in food and animals
Table abbreviation
2014_CAMPBOVMEAT
2014_CAMPBOVPROD
Food
Table name
Campylobacter in fresh bovine meat, 2014
Campylobacter in ready-to-eat bovine meat
products, 2014
2014_CAMPBROILMEAT
2014_CAMPBROILPROD
Campylobacter in fresh broiler meat, 2014
Campylobacter in ready-to-eat broiler meat products,
2014
2014_CAMPCHEESE
2014_CAMPMILK
2014_CAMPOTHERPOULMEAT
2014_CAMPPIGMEAT
2014_CAMPPIGPROD
Campylobacter
Campylobacter
Campylobacter
Campylobacter
Campylobacter
2014_CAMPTURKMEAT
2014_CAMPTURKPROD
2014_CAMPUNSPPROD
Campylobacter in fresh turkey meat, 2014
Campylobacter in ready-to-eat turkey meat products
Campylobacter in ready-to-eat unspecified meat
2014_CAMPBROILERS
2014_CAMPCATDOG
2014_CAMPCATTLE
2014_CAMPOTHERAN
2014_CAMPPIGS
2014_CAMPTURKEYS
Campylobacter
Campylobacter
Campylobacter
Campylobacter
Campylobacter
Campylobacter
Figure abbreviation
2014_CAMPPROPBROILMEAT
Figure name
Proportion of positive Campylobacter samples in
broiler meat by sampling stage in Member States and
non-Member States, 2008-2014
Table abbreviation
2014_LISTERIAOVERVIEW
Table name
Overview of countries reporting data for Listeria,
2014.
Animals
Animals
2014
in
in
in
in
in
cheeses, 2014
milk, 2014
fresh other poultry meat, 2014
fresh pig meat, 2014
ready-to-eat pig meat products,
products, 2014
in
in
in
in
in
in
broilers, 2014
cats and dogs, 2014
cattle, 2014
other animals, 2014
pigs, 2014
turkeys, 2014
3.3. Listeria
3.3.1. Listeriosis in humans
Humans
Table abbreviation
2014_LISTHUMRATES
Table name
Reported cases and notification rates per 100,000 of
human listeriosis in 2009-2014
Humans
Figure abbreviation
2014_LISTHUMTREND
Figure name
Trend in reported confirmed cases of human listeriosis
in the EU/EEA, 2009-2014
3.3.2. Listeria in food and animals
Food
Table abbreviation
2014_LISTERIABAKERY
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L. monocytogenes in RTE bakery products, 2014
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Table abbreviation
2014_LISTERIACOMPL
2014_LISTERIACONF
2014_LISTERIAEGGPR
2014_LISTERIAFISHPR
2014_LISTERIAFISH
2014_LISTERIAFRUITVEG
2014_LISTERIAHCCOWPM
2014_LISTERIAHCCOWRM
2014_LISTERIAHCGOATPM
2014_LISTERIAHCGOATRM
2014_LISTERIAHCMIXEDPM
2014_LISTERIAHCMIXEDRM
2014_LISTERIAHCSHEEPPM
2014_LISTERIAHCSHEEPRM
2014_LISTERIAMILK
2014_LISTERIAPREPDISH
2014_LISTERIARTEBOVINE
2014_LISTERIARTEBROIL
2014_LISTERIARTEPIG
2014_LISTERIARTETURK
2014_LISTERIASALAD
2014_LISTERIASCCOWPM
2014_LISTERIASCCOWRM
2014_LISTERIASCGOATPM
2014_LISTERIASCGOATRM
2014_LISTERIASCSHEEPRM
2014_LISTERIASCMIXEDPM
2014_LISTERIASCMIXEDRM
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Compliance with the L. monocytogenes criteria laid
down by Regulation (EC) No 2073/2005 in food
categories in the EU, 2014
L monocytogenes in RTE confectionary products and
pastes, 2013
L. monocytogenes in RTE egg products, 2014
L. monocytogenes in RTE fishery products, 2014
L. monocytogenes in fish, 2014
L. monocytogenes in RTE fruit and vegetables, 2014
L. monocytogenes in hard cheeses made from
pasteurised milk from cows, 2014
L. monocytogenes in hard cheeses made from raw or
low heat treated milk from cows, 2014
L. monocytogenes in hard cheeses made from
pasteurised milk from goats, 2014
L. monocytogenes in hard cheeses made from raw or
low heat treated milk from goats, 2014
L. monocytogenes in hard cheeses made from
pasteurised milk from mixed, unspecified or other
animal milk, 2014
L. monocytogenes in hard cheeses made from raw or
low heat-treated milk from mixed, unspecified or
other animal milk, 2014
L. monocytogenes in hard cheeses made from
pasteurised milk from sheep, 2014
L. monocytogenes in hard cheeses made from raw or
low heat treated milk from sheep, 2014
L. monocytogenes in RTE milk, 2014
L. monocytogenes in RTE other processed food
products and prepared dishes, 2014
L. monocytogenes in RTE meat products from bovine
animals, 2014
L. monocytogenes in RTE meat products from
broilers, 2014
L. monocytogenes in RTE meat products from pig,
2014
L. monocytogenes in RTE meat products from turkey,
2014
L. monocytogenes in RTE salads, 2014
L. monocytogenes in soft and semisoft cheeses made
from pasteurised milk from cows, 2014
L. monocytogenes in soft and semisoft cheeses made
from raw or low heat treated milk from cows, 2014
L. monocytogenes in soft and semisoft cheeses made
from pasteurised milk from goats, 2014
L. monocytogenes in soft and semisoft cheeses made
from raw or low heat treated milk from goats, 2014
L. monocytogenes in soft and semisoft cheeses made
from raw or low heat-treated milk from sheep, 2014
L. monocytogenes in soft and semisoft cheeses made
from pasteurised milk from mixed, unspecified or
other animal milk, 2014
L. monocytogenes in soft and semisoft cheeses made
from raw or low heat-treated milk from mixed,
unspecified or other animal milk, 2014
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Food
Table abbreviation
2014_LISTERIASCSHEEPPM
Animals
2014_LISTERIASAUCE
2014_LISTERIASPICES
2014_LISTERIAANIMALS
Food
Figure abbreviation
2014_LISTERIACOMPLFIG
2014_LISTERIAMEAT
2014_LISTERIACHEESE
2014_LISTERIAFISHFIG
Table name
L. monocytogenes in soft and semisoft cheeses made
from pasteurised milk from sheep, 2014
L. monocytogenes in sauce and dressings RTE, 2014
L. monocytogenes in RTE spices and herbs, 2014
Listeria monocytogenes and other species in animals,
2014
Figure name
Proportion of single samples at processing and retail
in non-compliance with EU L. monocytogenes criteria,
2011-2014
Proportion of L. monocytogenes-positive units in
ready-to-eat meat categories in the EU, 2014
Proportion of L. monocytogenes-positive units in soft
and semi-soft cheeses, and hard cheeses made from
raw or low heat-treated milk and pasturised milk,
2014
Proportion of L. monocytogenes-positive units in
ready-to-eat fishery products categories in EU, 2014
3.4. Verocytotoxigenic Escherichia coli
Table abbreviation
2014_VTECOVERVIEW
Table name
Overview of countries reporting data for VTEC, 2014
3.4.1. VTEC in humans
Humans
Table abbreviation
2014_VTECHUMRATES
2014_VTECHUMSEROGROUP
Humans
Figure abbreviation
2014_VTECHUMTREND
Table name
Reported cases and notification rates of human VTEC
infections in the EU, 2009–2014
Distribution of reported confirmed cases of human
VTEC infections in the EU/EEA, 2011–2013, by the 20
most frequent serogroups in 2014
Figure name
Trend in reported confirmed cases of human VTEC
infections in the EU/EEA, 2009-2014
3.4.2. VTEC in food and animals
Food and
Animals
Food
Table abbreviation
2014_VTECANMETH
2014_VTECBOVINEMEAT
2014_VTECBROIMEAT
2014_VTECDAIRY
2014_VTECFRUITS
2014_VTECGOATMEAT
2014_VTECOTHERFOOD
2014_VTECOTHERMEAT
2014_VTECOVINEMEAT
2014_VTECPIGSMEAT
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Proportion of food and animal samples tested for the
presence of VTEC with the different analytical
methods in Member States and non-Member States,
2014
VTEC in fresh bovine meat, 2014
VTEC in fresh broiler meat, 2014
VTEC in milk and dairy products, excluding raw milk,
2014
VTEC in fruits, 2014
VTEC in fresh goat meat, 2014
VTEC in other food, 2014
VTEC in fresh meat from other animal species, 2014
VTEC in fresh ovine meat, 2014
VTEC in fresh pigs meat, 2014
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Food
Table abbreviation
2014_VTECRAWCOWMILK
2014_VTECRAWGOATSMILK
2014_VTECRAWSHEEPMILK
2014_VTECSEED
2014_VTECTURKMEAT
2014_VTECVEGETABLE
2014_VTECTOP5GROUPFOOD
2014_VTECNONO157FOOD
2014_VTECGROUPTRENDFOOD
2014_VTECFOODCOUNTRY
2014_VTECMETHCOUNTRYFOO
DTREND
2014_VTECMETHFOODTREND
2014_VTECMETHANYO157FOOD
TREND
Animals
2014_VTECCATTLE
2014_VTECOTHERANIMAL
2014_VTECOVINEGOAT
2014_VTECPIGS
2014_VTECGROUPTRENDANIM
2014_VTECNONO157ANIM
Food
Figure abbreviation
2014_VTECPROPORTIONFOOD
2014_VTECGROUPTRENDFOOD
FIG
Animals
2014_VTECPROPORTIONANIM
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Table name
VTEC in raw cows' milk, 2014
VTEC in raw goats' milk, 2014
VTEC in raw sheep' milk, 2014
VTEC in sprouted seed, 2014
VTEC in fresh turkey meat, 2014
VTEC in vegetables, 2014
Proportion of positive samples for any VTEC and VTEC
belonging to the “top-5” serogroups in food
categories in Member States and non-Member States,
2014
Frequency distribution of non-O157 VTEC serogroups
in food categories in Member States, 2014.
Proportion of food samples positive for the most
frequent VTEC serogroups (per 1,000), reported by
Member States and non-Member States between
2011 and 2014.
Frequency distribution of samples tested for VTEC
(sampling fraction) by reporting Member States and
non-Member States and by food/animal category,
2014
Proportion of Member States and non-Member States
using the different analytical methods for testing food
samples for VTEC, between 2011 and 2014.
Proportion of food samples tested for VTEC by
Member States and non-Member States between
2011 and 2014, by using the different analytical
method.
Proportion of food samples tested for VTEC by
Member States and non-Member States between
2011 and 2014, by using analytical methods
specifically aimed at detecting VTEC O157 or any
VTEC, regardless the serotype
VTEC in cattle, 2014
VTEC in other animals, 2014
VTEC in sheep and goats, 2014
VTEC in pigs, 2014
Proportion of animal samples positive for the most
frequent VTEC serogroups (per 1,000), reported by
Member States between 2011 and 2014
Frequency distribution of non-O157 VTEC serogroups
in animals in Member States, 2014
Figure name
Proportion of VTEC positive samples in food
categories in the reporting Member States, 2012-2014
Proportion of food samples positive for the most
frequent VTEC serogroups (per 1,000 samples
tested), reported by Member States and non-Member
States between 2011 and 2014
Proportion of VTEC positive samples in animals in the
reporting Member States, 2012-2014
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Animals
Food and
animals
Figure abbreviation
2014_VTECGROUPTRENDANIM
FIG
2014_VTECATLASFOODANIM
2014_VTECATLASGROUPCOUN
TRY
2014_VTECGROUPATLASTREND
Figure name
Proportion of animal samples positive for the most
frequent VTEC serogroups (per 1,000 samples
tested), reported by Member States and non-Member
States between 2011 and 2014
Presence and absence of VTEC serogroups in foods
and animals, sampled in the EU in 2014
Presence and absence of VTEC serogroups in animals
and food sampled in 21 Member States and
Switzerland in 2014, by reporting country
Trends in the presence of the different VTEC
serogroups in food and animals reported in the EU
between 2011 and 2014.
3.5. Yersinia
Table abbreviation
2014_YERSOVERVIEW
Table name
Overview of countries reporting Yersinia data, 2014
3.5.1. Yersinia in humans
Humans
Table abbreviation
2014_YERSHUMRATES
Table name
Reported cases and notification rates per 100,000 of
human yersiniosis in the EU, 2010-2014
Humans
Figure abbreviation
2014_YERSHUMTREND
Figure name
Trend in reported confirmed cases of human
yersiniosis in the EU/EEA, 2008-2014
3.5.2. Yersinia in food and animals
Food
Animals
Animals
Table abbreviation
2014_YERSPIGMEAT
2014_YERSBOVINEMEAT
2014_YERSOVINEMEAT
2014_YERSMILKDAIRY
2014_YERSPIGS
2014_YERSDOMAN
2014_YERSOTHERAN
Table name
Yersinia in pig meat and products thereof, 2014
Yersinia in bovine meat and products thereof, 2014
Yersinia in ovine meat and products thereof, 2014
Yersinia in milk and dairy products, 2014
Yersinia in pigs, 2014
Yersinia in domestic livestock other than pigs, 2014
Yersinia in other animal species, 2014
Figure abbreviation
2014_YERSANIMPROPORTION
Figure name
Proportion of Yersinia-positive samples in animal in
Member States and non-Member States, 2012-2014
Proportion of Yersinia-positive samples in food in
Member States and non-Member States, 2012-2014
2014_YERSFOODPROPORTION
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3.6. Tuberculosis due to Mycobacterium bovis
Table abbreviation
2014_TUBOVERVIEW
Table name
Overview of countries reporting data for tuberculosis
due to M. bovis for humans and for animals, 2014
3.6.1. M. bovis in humans
Humans
Table abbreviation
2014_MBOVHUMRATES
Table name
Reported cases and notification rates per 100,000 of
human tuberculosis due to M. bovis in 2010-2014
3.6.2. Tuberculosis due to M. bovis in cattle
Animals
Table abbreviation
2014_DSTUBCOF
2014_DSTUBNONCOF
2014_TUBALL
Animals
Figure abbreviation
2014_DSTUBPROPINF
2014_DSTUBMAP
2014_DSTUBPROPMAP
Table name
M. bovis in cattle herds in co-financed non-OTF
Member States, 2014
M. bovis in cattle herds in non-co-financed non-OTF
Member States, 2014
Complementary reporting on M. bovis and on
Mycobacteria other than M. bovis, 2014
Figure name
Proportion of existing cattle herds infected with or
positive for M. bovis, 2009-2014
Status of countries regarding bovine tuberculosis,
2014
Proportion of existing cattle herds infected with or
positive for M. bovis, 2014
3.7. Brucella
Table abbreviation
2014_BRUCOVERVIEW
Table name
Overview of countries reporting data for Brucella,
2014
3.7.1. Brucellosis in humans
Humans
Table abbreviation
2014_BRUCHUMRATES
Table name
Reported cases and notification rates per 100,000 of
human brucellosis in the EU/ EEA, 2010-2014
Humans
Figure abbreviation
2014_BRUCHUMTREND
Figure name
Trend in reported confirmed cases of human
brucellosis in the EU, 2008-2014
3.7.2. Brucella in food and animals
Food
Animals
Table abbreviation
2014_BRUCFOOD
2014_DSBRUCOFCAT
2014_DSBRUCOFOV
2014_BRUCOTHERAN
www.efsa.europa.eu/efsajournal
Table name
Brucella in food, 2014
Brucella in cattle herds in co-financed non-OBF
Member States, 2014
Brucella in sheep and goat herds in co-financed nonObmF Member States, 2014
Brucella in species other than cattle, sheep and goat,
2014
185
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Animals
Figure abbreviation
2014_DSBRUCCATMAP
2014_DSBRUCCATPROPMAP
2014_DSBRUCOVCAPMAP
2014_DSBRUCOVCAPPROPMAP
2014_DSBRUCPROPINF
Figure name
Status of countries regarding bovine brucellosis, 2014
Proportion of existing cattle herds infected with or
positive for Brucella, country-based data, 2014.
Status of countries regarding ovine and caprine
brucellosis, 2014
Proportion of existing sheep and goats herds infected
with or positive for Brucella, country-based data,
2014
Proportion of existing cattle, sheep and goat herds
infected with or positive for Brucella, 2005-2014
3.8. Trichinella
Table abbreviation
2014_TRICHOVERVIEW
Table name
Overview of countries reporting data on Trichinella
spp., 2014
3.8.1. Trichinellosis in humans
Humans
Table abbreviation
2014_TRICHUMRATES
Table name
Reported cases and notification rates per 100,000 of
human trichinellosis in 2010-2014
Humans
Figure abbreviation
2014_TRICHUMTREND
Figure name
Trend in reported confirmed cases of human
trichinellosis in the EU/EEA, 2008-2014
3.8.2. Trichinella in animals
Animals
Table abbreviation
2014_TRICHPIGSNOT
2014_TRICHPIGS
2014_TRICHHORSE
2014_TRICHFARMEDWILDBOAR
2014_TRICHWILDWILDBOAR
2014_TRICHFOX
2014_TRICHBEARS
2014_TRICHRACCOON
2014_TRICHOTHERWILD
Animals
Figure abbreviation
2014_TRICHMAPPIGSNOT
2014_TRICHMAPWILDWILDBOAR
2014_TRICHMAPOTHERWILD
2014_TRICHPROPORTION
www.efsa.europa.eu/efsajournal
Table name
Findings of Trichinella in pigs not raised under
controlled housing conditions, 2014
Findings of Trichinella in pigs other than not raised
under controlled housing conditions, 2014
Findings of Trichinella in domestic solipeds, 2014
Findings of Trichinella in farmed wild boar, 2014
Findings of Trichinella in hunted wild boar, 2014
Findings of Trichinella in foxes, 2014
Findings of Trichinella in bears, 2014
Findings of Trichinella in raccoon dogs, 2014
Findings of Trichinella in other wildlife, 2014
Figure name
Findings of Trichinella in pigs not raised under
controlled housing conditions, 2014
Findings of Trichinella in hunted wild boar, 2014.
Findings of Trichinella in wildlife (including hunted
wild boar), 2014
Proportion of Trichinella-positive samples in animals
in Member States and non-Member States, 20052014
186
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3.9. Echinococcus
Table abbreviation
2014_ECHINOOVERVIEW
Table name
Overview of countries reporting data on Echinococcus
spp., 2014
3.9.1. Echinococcus in humans
Humans
Table abbreviation
2014_ECHINOHUMRATES
Table name
Reported cases and notification rates per 100,000 of
human echinococcosis in the EU/ EEA, 2010-2014
Humans
Figure abbreviation
2014_ECHINOHUMTREND
Figure name
Reported confirmed cases by species in selected MS,
2008-2014
3.9.2. Echinococcus in animals
Animals
Animals
Table abbreviation
2014_ECHINOFOX
2014_ECHINOOTHER
Table name
Figure abbreviation
2014_ECHINOFOXMAP
Figure name
Findings of E. multilocularis in foxes, 2014
Echinococcus findings in foxes, 2014
Other Echinococcus findings in animals, 2014
3.10. Toxoplasma
Table abbreviation
2014_TOXOOVERVIEW
Table name
Overview of countries reporting data for Toxoplasma,
2014
3.10.1. Toxoplasma in animals
Animals
Table abbreviation
2014_TOXOPIGS
2014_TOXOCATTLE
2014_TOXOOVINEGOAT
2014_TOXOCATDOG
2014_TOXOOTHERAN
Table name
Toxoplasma in
Toxoplasma in
Toxoplasma in
Toxoplasma in
Toxoplasma in
pigs, 2014
cattle, 2014
sheep and goats, 2014
cats and dogs, 2014
other animal species, 2014
3.11. Rabies
Table abbreviation
2014_RABIESOVERVIEW
Table name
Overview of countries reporting data for Rabies, 2014
3.11.1. Rabies in humans
Humans
Table abbreviation
2014_RABHUMCASES
Table name
Human rabies cases in the EU/EEA, 2009-2014
3.11.2. Rabies in animals
Animals
Table abbreviation
2014_RABIESFARMED
2014_RABIESCAT
2014_RABIESDOG
www.efsa.europa.eu/efsajournal
Table name
Rabies in farmed animal, 2014
Rabies in cats, 2014
Rabies in dogs, 2014
187
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Animals
Animals
2014_RABIESBATS
2014_RABIESRACCOON
2014_RABIESFOX
2014_RABIESWILD
Rabies in bats, 2014
Rabies in raccoon dogs, 2014
Rabies in foxes, 2014
Rabies in wildlife other than bats, foxes and raccoon
dogs, 2014
Figure abbreviation
2014_RABIESANIMEXCLBATS
Figure name
Reported cases of classical rabies or unspecified
lyssavirus in animals other than bats, in the Member
States and non-Member States, 2006-2014
European Bat lyssavirus (EBLV) or unspecified
lyssavirus cases in bats.
European Bat lyssavirus (EBLV) or unspecified
lyssavirus cases in foxes.
European Bat lyssavirus (EBLV) or unspecified
lyssavirus cases in wild animals.
2014_RABIESMAPBAT
2014_RABIESMAPFOX
2014_RABIESMAPWILD
3.12. Q fever
Table abbreviation
2014_COXOVERVIEW
Table name
Overview of countries reporting data for Q fever,
2014
3.12.1. Q fever in humans
Humans
Table abbreviation
2014_COXHUMRATES
Table name
Reported cases and notifcation rates per 100,000 of
human Q fever in the Eu/ EEA, 2009-2014
Humans
Figure abbreviation
2014_COXHUMTREND
Figure name
Trend in reported confirmed cases of human Q fever
in the EU/EEA, 2009-2014
3.12.2. Coxiella burnetii in animals
Animals
Table abbreviation
2014_COXCATTLE
2014_COXOVINEGOAT
2014_COXOTHERAN
Table name
Q fever in cattle, 2014
Q fever in sheep and goats, 2014
Q fever in other animals species, 2014
3.13. West Nile Virus
Table abbreviation
2014_WNVOVERVIEW
Table name
Overview of countries reporting data for West Nile
Virus, 2014
3.13.1. West Nile Virus in humans
Humans
Table abbreviation
2014_WNFHUMRATES
2014_WNFHUMIMPORT
www.efsa.europa.eu/efsajournal
Table name
Reported cases and notification rates per 100,000 of
human West Nile fever in 2010-2014
Proportion of West Nile fever cases associated with
travel, domestic cases and cases with unknown travel
information by country in 2014
188
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Humans
Figure abbreviation
2014_WNFHUMTREND
Figure abbreviation
Trend in reported cases of human West Nile fever in
the EU, 2010-2014
3.13.2. West Nile Virus in animals
Animals
Animals
Table abbreviation
2014_WNVSOLIP
2014_WNVBIRDS
2014_WNVOTHERAN
Table name
West Nile Virus in solipeds, 2014
West Nile Virus in birds, 2014
West Nile Virus in other animal species, 2014
Figure abbreviation
2014_WNVBIRDSMAP
2014_WNVSOLIPMAP
Figure abbreviation
Findings of West Nile Virus in birds in the EU, 2014.
Findings of West Nile Virus in solipeds in the EU,
2014.
3.14. Tularaemia
Table abbreviation
Table name
2014_FRANCISELLAOVERVIEW
Overview of countries reporting data for Francisella,
2014
3.14.1. Tularaemia in humans
Humans
Humans
Table abbreviation
Table name
2014_TULARHUMRATES
Reported cases and notifciation rates per 100,000 of
human tularaemia in the Eu/ EEA, 2010-2014
Figure abbreviation
Figure name
2014_TULARHUMTREND
Trend in reported confirmed cases of human
tularaemia in the EU/EEA, 2008-2014
3.14.2. F. tularensis in animals
Animals
Table abbreviation
Table name
2014_FRANCISELLAANI
Francisella tularensis in animals, 2014
3.16. Food-borne outbreaks
3.16.1. General overview
Table abbreviation
2014_FBOOVERVIEW
2014_FBOEVID
www.efsa.europa.eu/efsajournal
Table name
Overview of countries reporting data on food-borne
outbreaks, 2013
Evidence in strong-evidence food-borne outbreaks
(including strong-evidence water-borne outbreaks) in
the EU, 2013
189
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Table abbreviation
2014_NOFBOSTR
2014_NOOUTHUM
Figure abbreviation
2014_FBOCOUNTRYRATE
2014_FBOCOUNTRYNUMOUT
2014_FBOAGENTNUMOUT
2014_FBOAGENTTREND
2014_FBODISTRIBFOODVEHIC
2014_FBODISTRIBSETTING
Table name
Number of outbreaks and human cases per causative
agents in food-borne outbreaks in the EU (including
strong-evidence water-borne outbreaks), 2013
Number of all food-borne outbreaks and human cases in
the EU, 2014
Figure name
Reporting rate per 100,000 population in Member States
and non-Member States, 2014
Distribution of food-borne outbreaks in Member States
and non-Member States, 2014
Distribution of all food-borne outbreaks per causative
agent in the EU, 2014
Total number of food-borne outbreaks in the EU, 20082014
Distribution of strong-evidence outbreaks by food
vehicle in the EU, 2014
Distribution of strong-evidence outbreaks by settings in
the EU, 2014
3.16.2. Agent specific outbreaks
Table abbreviation
2014_FBOSALM
2014_FBOCAMP
2014_FBOECOLI
2014_FBOSTRVIRUS
2014_FBOBACIL
2014_FBOCLOSTOX
2014_FBOBOT
2014_FBOSTAPH
2014_FBOVIRUS
2014_FBOOTHER
2014_FBOSTROTHER
www.efsa.europa.eu/efsajournal
Table name
Strong- and weak-evidence food-borne outbreaks
caused by Salmonella (excluding strong-evidence waterborne outbreaks), 2014
Strong- and weak-evidence food-borne outbreaks
caused by Campylobacter (excluding strong-evidence
water-borne outbreaks), 2014
Strong- and weak-evidence food-borne outbreaks
caused by pathogenic E. coli (excluding strong-evidence
water-borne outbreaks), 2014
Strong-evidence food-borne outbreaks caused by viruses
(excluding strong-evidence water-borne outbreaks),
2014
Strong- and weak-evidence food-borne outbreaks
caused by Bacillus toxins (excluding strong-evidence
water-borne outbreaks), 2014
Strong- and weak-evidence food-borne outbreaks
caused by Clostridium toxins (excluding strong-evidence
water-borne outbreaks), 2014
Strong-evidence food-borne outbreaks caused by
Clostridium botulinum toxins (excluding strong-evidence
water-borne outbreaks), 2014
Strong- and weak-evidence food-borne outbreaks
caused by staphylococcal (excluding strong-evidence
water-borne outbreaks), 2014
Strong- and weak-evidence food-borne outbreaks
caused by viruses (excluding strong-evidence waterborne outbreaks), 2014
Strong- and weak-evidence food-borne outbreaks
caused by other causative agents (excluding strongevidence water-borne outbreaks), 2014
Strong-evidence food-borne outbreaks caused by other
causative agents (excluding strong-evidence waterborne outbreaks), 2014
190
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Figure abbreviation
2014_FBOSALMVEHIC
2014_FBOSALMENTVEHIC
2014_FBOSALMTYPVEHIC
2014_FBOCAMPVEHIC
2014_FBONOROVIRUSVEHIC
2014_FBOBACILLUSVEHIC
2014_FBOCLOSTRIDIUMVEHIC
2014_FBOSTAPHYLVEHIC
Figure name
Distribution of food vehicles in strong-evidence
outbreaks caused by Salmonella in the EU, 2014
Distribution of food vehicles in strong-evidence
outbreaks caused by S. Enteritidis in the EU, 2014
Distribution of food vehicles in strong-evidence
outbreaks caused by S. Typhimurium in the EU, 2014
Distribution of food vehicles in strong-evidence
outbreaks caused by Campylobacter (excluding strongevidence water-borne outbreaks), 2014
Distribution food vehicles in strong-evidence outbreaks
caused by norovirus (excluding strong evidence
waterborne outbreaks) in the EU, 2014
Distribution of food vehicles in strong-evidence
outbreaks caused by Bacillus toxins in the EU, 2014
Distribution of food vehicles in strong-evidence
outbreaks caused by Clostridium toxins (excluding
strong-evidence water-borne outbreaks), 2014
Distribution of food vehicles in strong-evidence
outbreaks caused by staphylococcal toxins in the EU
(excluding strong-evidence water-borne outbreaks),
2014
3.16.3. Water-borne outbreaks
Table abbreviation
2014_FBOWATER
www.efsa.europa.eu/efsajournal
Table name
List of reported strong evidence water-borne outbreaks
in 2013
191
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